<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Guide on AI Knowledge Base</title><link>https://learn-ai.blindshot.kz/content_type/guide/</link><description>Recent content in Guide on AI Knowledge Base</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://learn-ai.blindshot.kz/content_type/guide/index.xml" rel="self" type="application/rss+xml"/><item><title>WORKFLOW.md Configuration</title><link>https://learn-ai.blindshot.kz/docs/openai/symphony/workflow-configuration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/symphony/workflow-configuration/</guid><description>The WORKFLOW.md file format: YAML front matter configuring tracker integration, polling intervals, workspace hooks, and agent settings, followed by a markdown prompt template with issue-field substitution.</description></item><item><title>Working With Messages</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/working-with-messages/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/working-with-messages/</guid><description>The Messages API is the core primitive — understand message roles, content blocks, and conversation structure.</description></item><item><title>Streaming</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/streaming/</guid><description>Server-sent events (SSE) streaming for real-time token delivery and responsive UIs.</description></item><item><title>Structured Outputs</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/structured-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/structured-outputs/</guid><description>Get reliable JSON outputs from Claude using tool_use or constrained decoding.</description></item><item><title>Extended Thinking</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/extended-thinking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/extended-thinking/</guid><description>Enable Claude&amp;rsquo;s chain-of-thought reasoning for complex problems that benefit from step-by-step analysis.</description></item><item><title>Vision</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/vision/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/vision/</guid><description>Send images to Claude for analysis, OCR, diagram interpretation, and multimodal reasoning.</description></item><item><title>Prompt Caching</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/prompt-caching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/prompt-caching/</guid><description>Cache system prompts and repeated context to reduce latency and costs by up to 90%.</description></item><item><title>@ag-ui/encoder</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/encoder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/encoder/</guid><description/></item><item><title>@ag-ui/proto</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/proto/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/proto/</guid><description/></item><item><title>🚀 Get Started</title><link>https://learn-ai.blindshot.kz/docs/ragas/getstarted/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/getstarted/_overview/</guid><description/></item><item><title>01 Intro Basics</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/finetuning_sections/_01_intro_basics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/finetuning_sections/_01_intro_basics/</guid><description>Learn the basics of fine-tuning LLMs with Mistral AI&amp;rsquo;s API and open-source tools for optimized performance</description></item><item><title>02 Prepare Dataset</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/finetuning_sections/_02_prepare_dataset/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/finetuning_sections/_02_prepare_dataset/</guid><description>Learn how to prepare datasets for fine-tuning models across various use cases, from tone to coding and RAG</description></item><item><title>2022 releases</title><link>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/2022/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/2022/</guid><description/></item><item><title>2023 releases</title><link>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/2023/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/2023/</guid><description/></item><item><title>2024 releases</title><link>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/2024/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/2024/</guid><description/></item><item><title>2025 releases</title><link>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/2025/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/2025/</guid><description/></item><item><title>2026 releases</title><link>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/2026/</guid><description/></item><item><title>A Data Analyst Agent Built with Cohere and Langchain</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/data-analyst-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/data-analyst-agent/</guid><description>This page describes how to build a data-analysis system out of Cohere&amp;rsquo;s models.</description></item><item><title>A Guide to Streaming Responses</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/streaming/</guid><description>Stream Chat API responses in real-time using Server-Sent Events — including text generation, tool calls, and citation events.</description></item><item><title>A Guide to Tokens and Tokenizers</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tokens-and-tokenizers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tokens-and-tokenizers/</guid><description>This document describes how to use the tokenize and detokenize API endpoints.</description></item><item><title>A2A endpoint in Agent Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/server-a2a/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/server-a2a/</guid><description/></item><item><title>A2A Extension</title><link>https://learn-ai.blindshot.kz/docs/google/adk/a2a/a2a-extension/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/a2a/a2a-extension/_overview/</guid><description/></item><item><title>A2A JSON-RPC</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/a2a/a2a-json-rpc/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/a2a/a2a-json-rpc/</guid><description>Communicate with an assistant using the Agent-to-Agent (A2A) Protocol over JSON-RPC 2.0.</description></item><item><title>A2A vs MCP</title><link>https://learn-ai.blindshot.kz/docs/a2a/blog/a2a-vs-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/blog/a2a-vs-mcp/</guid><description>Understanding how A2A complements the Model Context Protocol</description></item><item><title>A2A vs MCP</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-vs-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-vs-mcp/</guid><description>Detailed comparison with Model Context Protocol</description></item><item><title>AbstractAgent</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/abstract-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/abstract-agent/</guid><description>Base agent implementation with core event handling</description></item><item><title>Access &amp; oversight</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/access-and-oversight/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/access-and-oversight/</guid><description>Control who can access agents, how they authenticate, and audit everything they do.</description></item><item><title>Access BYOB using pre-signed URLs</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/data-security/presigned-urls/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/data-security/presigned-urls/</guid><description/></item><item><title>Access management</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/access-management-intro/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/access-management-intro/</guid><description/></item><item><title>Access the current run (span) within a traced function</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/access-current-span/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/access-current-span/</guid><description/></item><item><title>Access the W&amp;B MCP Server</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/mcp-server/</guid><description>Connect your IDE or LLM application to W&amp;amp;B&amp;rsquo;s Model Context Protocol (MCP) server to provide your agent with access to your W&amp;amp;B workspace, data, and W&amp;amp;B&amp;rsquo;s documentation.</description></item><item><title>Access your invoices</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/access-your-invoices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/access-your-invoices/</guid><description>View and download billing invoices from Pinecone.</description></item><item><title>Access your invoices</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/access-your-invoices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/access-your-invoices/</guid><description>View and download organization billing invoices.</description></item><item><title>Account quotas</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/quotas_usage/account-quotas/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/quotas_usage/account-quotas/</guid><description>Account-wide request limits, spending tiers, budget controls, and on-demand GPU quotas</description></item><item><title>Action confirmations</title><link>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/confirmation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/confirmation/_overview/</guid><description/></item><item><title>Actions in ChatKit</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/chatkit-actions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/chatkit-actions/</guid><description>Embed a widget to build your own chat experiences.</description></item><item><title>Adapter injection</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/low_level_api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/low_level_api/</guid><description/></item><item><title>Adapters</title><link>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/adapters/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/adapters/_overview/</guid><description/></item><item><title>Adapting Metrics to Target Language</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/metrics/metrics_language_adaptation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/metrics/metrics_language_adaptation/_overview/</guid><description/></item><item><title>Adaptive Thinking</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/adaptive-thinking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/adaptive-thinking/</guid><description/></item><item><title>Add custom authentication</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-auth/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-auth/</guid><description/></item><item><title>Add encryption at-rest</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/encryption/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/encryption/</guid><description/></item><item><title>Add labels to runs with tags</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/tags/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/tags/</guid><description/></item><item><title>Add metadata and tags to traces</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/add-metadata-tags/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/add-metadata-tags/</guid><description/></item><item><title>Add W&amp;B (wandb) to your code</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/add-w-and-b-to-your-code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/add-w-and-b-to-your-code/</guid><description>Add W&amp;amp;B to your Python code script or Jupyter Notebook.</description></item><item><title>Add W&amp;B to a Python library</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/add-wandb-to-any-library/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/add-wandb-to-any-library/</guid><description/></item><item><title>Adding Data to Chroma Collections</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/collections/add-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/collections/add-data/</guid><description>Learn how to add data to Chroma collections.</description></item><item><title>Adding to your CI pipeline with Pytest</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/add_to_ci/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/add_to_ci/_overview/</guid><description/></item><item><title>ADK Gemini Live API Toolkit</title><link>https://learn-ai.blindshot.kz/docs/google/adk/streaming/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/streaming/_overview/</guid><description/></item><item><title>ADK with Agent2Agent (A2A) Protocol</title><link>https://learn-ai.blindshot.kz/docs/google/adk/a2a/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/a2a/_overview/</guid><description/></item><item><title>Admin</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/admin/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/admin/</guid><description/></item><item><title>Administration Api</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/administration-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/administration-api/</guid><description/></item><item><title>Advanced Document Parsing For Enterprises</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/document-parsing-for-enterprises/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/document-parsing-for-enterprises/</guid><description>This page describes how to use Cohere&amp;rsquo;s models to build a document-parsing agent.</description></item><item><title>Advanced Generation Parameters</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/advanced-generation-hyperparameters/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/advanced-generation-hyperparameters/</guid><description>This page describes advanced parameters for controlling generation.</description></item><item><title>Advanced IAM configuration</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/advanced_env_vars/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/advanced_env_vars/</guid><description/></item><item><title>Advanced integrations with ChatKit</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/custom-chatkit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/custom-chatkit/</guid><description>Use your own server with ChatKit to integrate agent workflows into your product with more customization.</description></item><item><title>Advanced Tool Features</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/tools-advanced/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/tools-advanced/_overview/</guid><description/></item><item><title>Advanced usage</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/advanced-usage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/advanced-usage/</guid><description>Discover advanced usage techniques for OpenAI&amp;rsquo;s API, including reproducible outputs, token management, and parameter settings.</description></item><item><title>AG-UI</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/ui/ag-ui/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/ui/ag-ui/_overview/</guid><description/></item><item><title>AG-UI</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/ag_ui/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/ag_ui/_overview/</guid><description/></item><item><title>AG-UI Integration</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_ag_ui/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_ag_ui/_overview/</guid><description/></item><item><title>Agent Builder webhooks</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-webhooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-webhooks/</guid><description>Integrate agent publishing with external systems, CI/CD pipelines, or custom deployment workflows.</description></item><item><title>Agent Chat UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/ui/</guid><description/></item><item><title>Agent Chat UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/ui/</guid><description/></item><item><title>Agent Chat UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/ui/</guid><description/></item><item><title>Agent Chat UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/ui/</guid><description/></item><item><title>Agent Client Protocol (ACP)</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/acp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/acp/</guid><description>Expose Deep Agents over the Agent Client Protocol (ACP) to integrate with code editors and IDEs.</description></item><item><title>Agent Client Protocol (ACP)</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/acp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/acp/</guid><description>Expose Deep Agents over the Agent Client Protocol (ACP) to integrate with code editors and IDEs.</description></item><item><title>Agent Config</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/config/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/config/_overview/</guid><description/></item><item><title>Agent definitions</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/define-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/define-agents/</guid><description>Learn how to define an agent&amp;rsquo;s instructions, model, tools, and local context in the OpenAI Agents SDK.</description></item><item><title>Agent evals</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-evals/</guid><description>Use agent evals to create datasets, configure graders, and track evaluation runs for your agents.</description></item><item><title>Agent Frameworks</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/agent-frameworks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/agent-frameworks/</guid><description>Build production-ready AI agents with Fireworks and leading open-source frameworks</description></item><item><title>Agent identity</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/agent-identity/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/agent-identity/</guid><description>Choose whether your Fleet agent authenticates with its own credentials or with each user&amp;rsquo;s credentials.</description></item><item><title>Agent Integrations</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/agent-integrations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/agent-integrations/</guid><description>Using OSS agent frameworks with Together AI</description></item><item><title>Agent Loop</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/agent-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/agent-loop/</guid><description/></item><item><title>Agent Repositories</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/agent-repositories/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/agent-repositories/</guid><description>Learn how to use Agent Repositories to share and reuse your agents across teams and projects</description></item><item><title>Agent Runtime</title><link>https://learn-ai.blindshot.kz/docs/google/adk/runtime/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/runtime/_overview/</guid><description/></item><item><title>Agent Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server/</guid><description/></item><item><title>Agent Server changelog</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-changelog/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-changelog/</guid><description/></item><item><title>Agent Skills</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/agent-skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/agent-skills/</guid><description>Install Pinecone&amp;rsquo;s official Agent Skills library for Cursor, GitHub Copilot, Codex, and other agentic IDEs.</description></item><item><title>Agent Starter Pack</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/asp/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/asp/_overview/</guid><description/></item><item><title>Agent Tracing</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/environments/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/environments/</guid><description>Understand where your agent runs and how tracing enables reinforcement fine-tuning</description></item><item><title>Agent Workflows</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/workflows/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/workflows/</guid><description>Orchestrating together multiple language model calls to solve complex tasks.</description></item><item><title>agent-server-openapi</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-openapi/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-openapi/</guid><description/></item><item><title>Agent2Agent (A2A)</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/a2a/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/a2a/_overview/</guid><description/></item><item><title>Agentic Memory</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/build/agentic-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/build/agentic-memory/</guid><description>Persist agent context across runs for better performance and personalization.</description></item><item><title>Agentic Multi-Stage RAG with Cohere Tools API</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/agentic-multi-stage-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/agentic-multi-stage-rag/</guid><description>This page describes how to build a powerful, multi-stage agent with the Cohere platform.</description></item><item><title>Agentic RAG for PDFs with mixed data</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/agentic-rag-mixed-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/agentic-rag-mixed-data/</guid><description>This page describes building a powerful, multi-step chatbot with Cohere&amp;rsquo;s models.</description></item><item><title>Agentic Search</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/build/agentic-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/build/agentic-search/</guid><description>Build agents that iteratively search and refine results to answer complex queries.</description></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/_overview/</guid><description/></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/agents/</guid><description/></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/agents/</guid><description/></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/agents/</guid><description>Configure agent instructions, tools, guardrails, memory, and streaming behavior.</description></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/agent/_overview/</guid><description/></item><item><title>Agents &amp; Conversations</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/agents_and_conversations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/agents_and_conversations/</guid><description>Agents &amp;amp; Conversations API: Create, manage agents with tools, and handle interactive conversations with persistent history</description></item><item><title>Agents Function Calling</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/agents_function_calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/agents_function_calling/</guid><description>Agents use tools and function calling to perform tasks, with built-in and customizable options</description></item><item><title>Agents Handoffs</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/handoffs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/handoffs/</guid><description>Agents Handoffs enable seamless task delegation and workflow automation between multiple agents with diverse tools and capabilities</description></item><item><title>Agents SDK</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents-sdk/</guid><description>Learn how to build agents with the OpenAI Agents SDK.</description></item><item><title>AgentSubscriber</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/subscriber/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/subscriber/</guid><description>Event-driven subscriber system for agent lifecycle and event handling</description></item><item><title>Agno</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/agno/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/agno/</guid><description>Using Agno with Together AI</description></item><item><title>Agno</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/agno/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/agno/</guid><description>Trace Agno multi-agent systems with Weave using OpenTelemetry, capturing agent interactions, tool calls, shared memory operations, and multi-modal workflows for comprehensive observability of your AI agent systems.</description></item><item><title>AI Engine</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/ai-engine/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/ai-engine/</guid><description/></item><item><title>AI Evaluations UI</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/ai-evaluations-ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/ai-evaluations-ui/</guid><description>Guide to using the AI Evaluations UI for model assessment</description></item><item><title>AI Mind Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/aimindtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/aimindtool/</guid><description>The &amp;lsquo;AIMindTool&amp;rsquo; is designed to query data sources in natural language.</description></item><item><title>AI Models for ADK agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/_overview/</guid><description/></item><item><title>Airbyte</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/airbyte/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/airbyte/</guid><description/></item><item><title>Alerts in LangSmith</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/alerts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/alerts/</guid><description/></item><item><title>Align an LLM as a Judge</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/align-llm-as-judge/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/align-llm-as-judge/_overview/</guid><description/></item><item><title>Aligning LLM Evaluators with Human Judgment</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/vertexai_alignment/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/vertexai_alignment/_overview/</guid><description/></item><item><title>Amazon Bedrock</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/amazon-bedrock/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/amazon-bedrock/</guid><description/></item><item><title>Amazon Bedrock</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/amazon-bedrock/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/amazon-bedrock/</guid><description>Pinecone as a Knowledge Base for Amazon Bedrock</description></item><item><title>Amazon Bedrock</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/amazon_bedrock/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/amazon_bedrock/_overview/</guid><description/></item><item><title>Amazon SageMaker</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/amazon-sagemaker/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/amazon-sagemaker/</guid><description/></item><item><title>Ambassador</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/contribute/ambassador/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/contribute/ambassador/</guid><description>Join Mistral AI&amp;rsquo;s Ambassador Program to advocate, create content, and gain exclusive benefits for AI enthusiasts</description></item><item><title>An Amazon SageMaker Setup Guide</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/amazon-sagemaker-setup-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/amazon-sagemaker-setup-guide/</guid><description>This document will guide you through enabling development teams to access Cohere’s offerings on Amazon SageMaker.</description></item><item><title>Analysis of Form 10-K/10-Q Using Cohere and RAG</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/analysis-of-financial-forms/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/analysis-of-financial-forms/</guid><description>This page describes how to use Cohere&amp;rsquo;s large language models to build an agent able to analyze financial forms like a 10-K or a 10-Q.</description></item><item><title>Analyze an experiment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/analyze-an-experiment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/analyze-an-experiment/</guid><description/></item><item><title>Analyzing Hacker News with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/analyzing-hacker-news/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/analyzing-hacker-news/</guid><description>This page describes building a generative-AI powered tool to analyze headlines with Cohere.</description></item><item><title>Annotate collections</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/registry/registry_cards/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/registry/registry_cards/</guid><description/></item><item><title>Annotate traces and runs inline</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/annotate-traces-inline/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/annotate-traces-inline/</guid><description/></item><item><title>Annotations</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/annotations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/annotations/</guid><description>Mistral Document AI API extracts structured data from documents using custom JSON annotations for bboxes and full documents</description></item><item><title>Anthropic</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/anthropic/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/anthropic/_overview/</guid><description/></item><item><title>Anthropic</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/anthropic/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/anthropic/_overview/</guid><description/></item><item><title>Anthropic</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/anthropic/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/anthropic/</guid><description>Use Weave to automatically track and log LLM calls made via the Anthropic SDK</description></item><item><title>Anthropic Api</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/anthropic_api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/anthropic_api/</guid><description/></item><item><title>Anthropic compatibility</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/tools-sdks/anthropic-compatibility/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/tools-sdks/anthropic-compatibility/</guid><description>Use Anthropic SDKs with Fireworks, and understand the supported surface for the Anthropic-compatible Messages API.</description></item><item><title>Anthropic MCP</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/anthropic-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/anthropic-mcp/</guid><description/></item><item><title>Antitrust Policy</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/antitrust/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/antitrust/</guid><description>MCP Project Antitrust Policy for participants and contributors</description></item><item><title>Anyscale</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/anyscale/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/anyscale/_overview/</guid><description/></item><item><title>Anyscale</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/anyscale/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/anyscale/</guid><description/></item><item><title>API &amp; Integrations</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/gpu-clusters-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/gpu-clusters-api/</guid><description>Manage clusters programmatically with CLI, REST API, Terraform, and third-party tools</description></item><item><title>Api And Data Retention</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/api-and-data-retention/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/api-and-data-retention/</guid><description/></item><item><title>API deployment checklist</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/deployment-checklist/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/deployment-checklist/</guid><description>Review commonly underused Responses API design choices that improve deployment quality, speed, cost, and reliability.</description></item><item><title>API Keys &amp; Authentication</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/api-keys-authentication/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/api-keys-authentication/</guid><description>Create, manage, and authenticate with Project-scoped API keys</description></item><item><title>API Server</title><link>https://learn-ai.blindshot.kz/docs/google/adk/runtime/api-server/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/runtime/api-server/_overview/</guid><description/></item><item><title>Apify</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/apify/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/apify/</guid><description/></item><item><title>Apify Actors</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/apifyactorstool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/apifyactorstool/</guid><description>&amp;lsquo;ApifyActorsTool&amp;rsquo; lets you call Apify Actors to provide your CrewAI workflows with web scraping, crawling, data extraction, and web automation capabilities.</description></item><item><title>Apigee AI Gateway</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/apigee/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/apigee/_overview/</guid><description/></item><item><title>App development in LangSmith Deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/app-development/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/app-development/</guid><description/></item><item><title>Application structure</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/application-structure/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/application-structure/</guid><description/></item><item><title>Application structure</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/application-structure/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/application-structure/</guid><description/></item><item><title>Application structure</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/application-structure/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/application-structure/</guid><description/></item><item><title>Applications</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/_overview/</guid><description/></item><item><title>Apply patch</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-apply-patch/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-apply-patch/</guid><description>Allow models to propose structured diffs that your integration applies.</description></item><item><title>Apps: workflow management class</title><link>https://learn-ai.blindshot.kz/docs/google/adk/apps/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/apps/_overview/</guid><description/></item><item><title>Arize</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_arize/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_arize/_overview/</guid><description/></item><item><title>Arize Phoenix</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/arize-phoenix/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/arize-phoenix/</guid><description>Arize Phoenix integration for CrewAI with OpenTelemetry and OpenInference</description></item><item><title>Article Recommender via Embedding &amp; Classification</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/article-recommender-with-text-embeddings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/article-recommender-with-text-embeddings/</guid><description>This page describes how to build a generative-AI tool to recommend articles with Cohere.</description></item><item><title>Artifact data privacy and compliance</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/data-privacy-and-compliance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/data-privacy-and-compliance/</guid><description>Learn where W&amp;amp;B files are stored by default. Explore how to save, store sensitive information.</description></item><item><title>Artifacts</title><link>https://learn-ai.blindshot.kz/docs/google/adk/artifacts/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/artifacts/_overview/</guid><description/></item><item><title>Arxiv Paper Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/arxivpapertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/arxivpapertool/</guid><description>The &amp;lsquo;ArxivPaperTool&amp;rsquo; searches arXiv for papers matching a query and optionally downloads PDFs.</description></item><item><title>Aryn</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/aryn/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/aryn/</guid><description/></item><item><title>Asana Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/asana/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/asana/</guid><description>Team task and project coordination with Asana integration for CrewAI.</description></item><item><title>Assistants</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/assistants/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/assistants/</guid><description/></item><item><title>Assistants API deep dive</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/assistants/deep-dive/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/assistants/deep-dive/</guid><description>A detailed guide to creating and managing assistants with the Assistants API on the OpenAI platform.</description></item><item><title>Assistants Code Interpreter</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/assistants/tools/code-interpreter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/assistants/tools/code-interpreter/</guid><description>Allow assistants to run Python code with the Code Interpreter tool.</description></item><item><title>Assistants File Search</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/assistants/tools/file-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/assistants/tools/file-search/</guid><description>Use File Search as a built-in RAG tool for assistants.</description></item><item><title>Assistants Function Calling</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/assistants/tools/function-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/assistants/tools/function-calling/</guid><description>Use function calling to extend assistants with your own tools.</description></item><item><title>Assistants migration guide</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/assistants/migration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/assistants/migration/</guid><description>Guidance for migrating from the Assistants API to the Responses API, including side-by-side comparisons and updated patterns.</description></item><item><title>Async subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/async-subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/async-subagents/</guid><description>Launch background subagents that run concurrently while the supervisor continues interacting with the user</description></item><item><title>Async subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/async-subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/async-subagents/</guid><description>Launch background subagents that run concurrently while the supervisor continues interacting with the user</description></item><item><title>Asynchronous GRPO</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/async_grpo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/async_grpo_trainer/</guid><description/></item><item><title>Athina AI</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_athina/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_athina/_overview/</guid><description/></item><item><title>Attribute usage to your integration</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/build-integration/attribute-usage-to-your-integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/build-integration/attribute-usage-to-your-integration/</guid><description/></item><item><title>Attribute-based access control</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/abac/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/abac/</guid><description/></item><item><title>Audio &amp; Transcription</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/audio_and_transcription/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/audio_and_transcription/</guid><description>Audio &amp;amp; Transcription: Voxtral models enable chat and transcription via audio input with various file-passing methods</description></item><item><title>Audio and speech</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/audio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/audio/</guid><description>Learn how to work with audio and speech in the OpenAI API.</description></item><item><title>Audit &amp; Access Logs</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/security_compliance/audit_logs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/security_compliance/audit_logs/</guid><description>Monitor and track account activities with audit logging for Enterprise accounts</description></item><item><title>Audit logs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/audit-logs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/audit-logs/</guid><description>Track and review administrative actions across your LangSmith organization for security, compliance, and operational visibility.</description></item><item><title>Auth-aware tool responses</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-auth-format/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-auth-format/</guid><description>Format tool responses to trigger OAuth flows and resume execution automatically.</description></item><item><title>Auth-aware tool responses</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/auth-format/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/auth-format/</guid><description>Format tool responses to trigger OAuth flows and resume execution automatically.</description></item><item><title>Authentication</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/authentication/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/authentication/</guid><description>Log in to Claude Code and configure authentication for individuals, teams, and organizations.</description></item><item><title>Authentication</title><link>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/authentication/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/authentication/_overview/</guid><description/></item><item><title>Authentication &amp; access control</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/auth/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/auth/</guid><description/></item><item><title>Authentication methods</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/authentication-methods/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/authentication-methods/</guid><description/></item><item><title>AutoGen</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/autogen/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/autogen/</guid><description>Use Weave to track and monitor AutoGen agents and multi-agent systems</description></item><item><title>AutoGen(AG2)</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/autogen/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/autogen/</guid><description>Using AutoGen(AG2) with Together AI</description></item><item><title>Automate user and team management</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/automate_iam/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/automate_iam/</guid><description/></item><item><title>Automate workflows with hooks</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/hooks-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/hooks-guide/</guid><description>Run shell commands automatically when Claude Code edits files, finishes tasks, or needs input. Format code, send notifications, validate commands, and enforce project rules.</description></item><item><title>Automatically run evaluators on experiments</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/bind-evaluator-to-dataset/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/bind-evaluator-to-dataset/</guid><description/></item><item><title>Automatically track function calls using Ops</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/ops/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/ops/</guid><description>Versioned functions that automatically log all calls in Weave</description></item><item><title>Automation events and scopes</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/automations/automation-events/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/automations/automation-events/</guid><description/></item><item><title>Automations</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/automations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/automations/</guid><description>Manage, deploy, and monitor your live crews (automations) in one place.</description></item><item><title>Autoscaling</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/autoscaling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/autoscaling/</guid><description>Configure how your deployment scales based on traffic</description></item><item><title>Available models</title><link>https://learn-ai.blindshot.kz/docs/wandb/training/serverless-rl/available-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/training/serverless-rl/available-models/</guid><description>See the models you can train with Serverless RL</description></item><item><title>Available Models</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/models/</guid><description>Browse the foundation models available through W&amp;amp;B Inference</description></item><item><title>Awesome A2A</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/awesome-a2a/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/awesome-a2a/</guid><description>Curated list of A2A resources</description></item><item><title>AWS</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/aws/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/aws/</guid><description>Deploy Chroma on AWS using CloudFormation.</description></item><item><title>AWS Bedrock</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/bedrock/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/bedrock/_overview/</guid><description/></item><item><title>AWS Bedrock</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/aws/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/aws/</guid><description>Deploy and query Mistral AI models on AWS Bedrock with fully managed, serverless endpoints</description></item><item><title>AWS Marketplace</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/aws-marketplace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/aws-marketplace/</guid><description/></item><item><title>AWS Private Deployment Guide (EC2 and EKS)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/aws-private-deployment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/aws-private-deployment/</guid><description>Deploying Cohere models in AWS via EC2 or EKS for enhanced security, compliance, and control.</description></item><item><title>Aya Expanse</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/aya-expanse/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/aya-expanse/</guid><description>Understand Cohere Labs highly performant multilingual Aya models, which aim to bring many more languages into generative AI.</description></item><item><title>Aya Family of Models</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/aya/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/aya/</guid><description>Understand Cohere Labs groundbreaking multilingual Aya models, which aim to bring many more languages into generative AI.</description></item><item><title>Aya Vision</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/aya-vision/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/aya-vision/</guid><description>Understand Cohere Labs groundbreaking multilingual model Aya Vision, a state-of-the-art multimodal language model excelling at multiple tasks.</description></item><item><title>Azure</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/azure/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/azure/</guid><description>Deploy Chroma on Azure using Terraform.</description></item><item><title>Azure AI</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/azure/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/azure/</guid><description>Deploy and query Mistral AI models on Azure AI via serverless MaaS or GPU-based endpoints</description></item><item><title>Azure OpenAI</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/azure/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/azure/_overview/</guid><description/></item><item><title>Azure OpenAI Fine-Tuning</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/azure-openai-fine-tuning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/azure-openai-fine-tuning/</guid><description>How to Fine-Tune Azure OpenAI models using W&amp;amp;B.</description></item><item><title>Azure OpenAI Setup</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/azure-openai-setup/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/azure-openai-setup/</guid><description>Configure Azure OpenAI with Crew Studio for enterprise LLM connections</description></item><item><title>Back up a pod-based index</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/back-up-a-pod-based-index/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/back-up-a-pod-based-index/</guid><description>Backup pod-based indexes using Pinecone collections</description></item><item><title>Back up an index</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/back-up-an-index/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/back-up-an-index/</guid><description>Create backups of serverless indexes for protection</description></item><item><title>Background mode</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/background/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/background/</guid><description>Run long running tasks asynchronously in the background.</description></item><item><title>Bar plots</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/bar-plot/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/bar-plot/</guid><description>Visualize metrics, customize axes, and compare categorical data as bars.</description></item><item><title>Baseten</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/baseten/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/baseten/</guid><description/></item><item><title>Bash Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/bash-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/bash-tool/</guid><description>&lt;p&gt;The bash tool gives Claude direct shell access to execute commands, making it one of the most powerful and dangerous built-in tools available. It enables agents to run scripts, install packages, manage files, and interact with system utilities, forming the backbone of coding and DevOps automation workflows. Be deliberate about sandboxing: without proper isolation, Claude can execute arbitrary commands with the permissions of the host process. Start with a restrictive allowlist of commands and expand carefully, and always prefer higher-level tools like the text editor for file modifications where available rather than piping through sed or echo.&lt;/p&gt;</description></item><item><title>Basic authentication with email and password</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-basic-auth/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-basic-auth/</guid><description/></item><item><title>Basic OCR</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/basic_ocr/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/basic_ocr/</guid><description>Extract text and structured content from PDFs and images with Mistral&amp;rsquo;s Document AI OCR processor</description></item><item><title>Basic RAG</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/basic-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/basic-rag/</guid><description>Learn how to build a basic RAG system by combining retrieval and generation for AI-powered knowledge-based responses</description></item><item><title>Basic RAG: Retrieval-Augmented Generation with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/basic-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/basic-rag/</guid><description>This page describes how to work with Cohere&amp;rsquo;s basic retrieval-augmented generation functionality.</description></item><item><title>Basic Semantic Search with Cohere Models</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/basic-semantic-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/basic-semantic-search/</guid><description>This page describes how to do basic semantic search with Cohere&amp;rsquo;s models.</description></item><item><title>Batch</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/batch-inference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/batch-inference/</guid><description>Process jobs asynchronously with the Batch API.</description></item><item><title>Batch API</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/batch-inference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/batch-inference/</guid><description>Process large-scale async workloads</description></item><item><title>Batch API</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/batch/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/batch/</guid><description>Learn how to use OpenAI&amp;rsquo;s Batch API for processing jobs with asynchronous requests, increased rate limits, and cost efficiency.</description></item><item><title>Batch Embedding Jobs with the Embed API</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/embed-jobs-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/embed-jobs-api/</guid><description>Learn how to use the Embed Jobs API to handle large text data efficiently with a focus on creating datasets and running embed jobs.</description></item><item><title>Batch Inference</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/batch_inference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/batch_inference/</guid><description>Process multiple API requests in batches with customizable models, endpoints, and metadata</description></item><item><title>Batch Operations</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/batch-operations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/batch-operations/</guid><description>Execute multiple searches in a single API call for better performance and easier comparison of results.</description></item><item><title>Batch Processing</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/batch-processing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/batch-processing/</guid><description>&lt;p&gt;Batch processing is the single biggest lever for cutting Claude API costs on non-urgent workloads — it runs requests asynchronously at roughly half the price, which is why it appears in both the cost-optimization and deployment paths. Pay close attention to the 24-hour completion window and the polling and retrieval flow, since batches are not interactive and you design around eventual results. The common pitfall is reaching for batch on latency-sensitive paths where it does not belong. OpenAI offers an equivalent Batch API with a similar discount but a different file-based job format; read the rate-limits page next to see how batch sidesteps per-minute caps.&lt;/p&gt;</description></item><item><title>BCO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/bco_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/bco_trainer/</guid><description/></item><item><title>Bedrock</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/bedrock/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/bedrock/_overview/</guid><description/></item><item><title>Bedrock</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/bedrock/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/bedrock/</guid><description>Track and monitor Amazon Bedrock LLM calls with Weave, capturing foundation model interactions, converse API usage, and multi-provider model deployments through AWS&amp;rsquo;s unified API for comprehensive observability.</description></item><item><title>Bedrock Invoke Agent Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/bedrockinvokeagenttool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/bedrockinvokeagenttool/</guid><description>Enables CrewAI agents to invoke Amazon Bedrock Agents and leverage their capabilities within your workflows</description></item><item><title>Bedrock Knowledge Base Retriever</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/bedrockkbretriever/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/bedrockkbretriever/</guid><description>Retrieve information from Amazon Bedrock Knowledge Bases using natural language queries</description></item><item><title>Best Practices</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/best-practices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/best-practices/</guid><description>&lt;p&gt;This guide distills hard-won patterns for building reliable agent skills that perform well across diverse user inputs and edge cases. Pay particular attention to the guidance on error handling within skill execution and how to design tool descriptions that minimize misuse by the model. A common mistake is writing overly generic skill descriptions, which leads Claude to invoke skills in inappropriate contexts and degrades overall agent quality. Start here after completing the skills quickstart to refine your implementations before deploying to production.&lt;/p&gt;</description></item><item><title>Best Practices for Claude Code</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/best-practices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/best-practices/</guid><description>Tips and patterns for getting the most out of Claude Code, from configuring your environment to scaling across parallel sessions.</description></item><item><title>Best Practices for using Rerank</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/reranking-best-practices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/reranking-best-practices/</guid><description>Tips for optimal endpoint performance, including constraints on the number of documents, tokens per document, and tokens per query.</description></item><item><title>Beta</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/beta/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/beta/</guid><description/></item><item><title>Beta Headers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/beta-headers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/beta-headers/</guid><description/></item><item><title>Billing &amp; Pricing</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/gpu-clusters-billing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/gpu-clusters-billing/</guid><description>Understand billing, pricing, and lifecycle policies for GPU Clusters</description></item><item><title>Billing disputes and refunds</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/billing-disputes-and-refunds/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/billing-disputes-and-refunds/</guid><description/></item><item><title>Billing Troubleshooting</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/billing-troubleshooting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/billing-troubleshooting/</guid><description>Resolving payment issues, understanding charges, and managing billing problems.</description></item><item><title>Box</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/box/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/box/</guid><description/></item><item><title>Box Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/box/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/box/</guid><description>File storage and document management with Box integration for CrewAI.</description></item><item><title>Braintrust</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/braintrust/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/braintrust/</guid><description/></item><item><title>Braintrust</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/braintrust/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/braintrust/</guid><description>Braintrust integration for CrewAI with OpenTelemetry tracing and evaluation</description></item><item><title>Branching chat</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/branching-chat/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/branching-chat/</guid><description>Edit messages, regenerate responses, and navigate conversation branches</description></item><item><title>Branching chat</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/branching-chat/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/branching-chat/</guid><description>Edit messages, regenerate responses, and navigate conversation branches</description></item><item><title>Brave Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/bravesearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/bravesearchtool/</guid><description>The &amp;lsquo;BraveSearchTool&amp;rsquo; is designed to search the internet using the Brave Search API.</description></item><item><title>Bright Data Tools</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/brightdata-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/brightdata-tools/</guid><description>Bright Data integrations for SERP search, Web Unlocker scraping, and Dataset API.</description></item><item><title>Bring your own bucket (BYOB)</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/data-security/secure-storage-connector/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/data-security/secure-storage-connector/</guid><description/></item><item><title>Bring your own cloud (BYOC)</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/bring-your-own-cloud/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/bring-your-own-cloud/</guid><description>Deploy Pinecone in your own cloud account (AWS, GCP, or Azure), with full control over your infrastructure</description></item><item><title>Browserbase Web Loader</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/browserbaseloadtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/browserbaseloadtool/</guid><description>Browserbase is a developer platform to reliably run, manage, and monitor headless browsers.</description></item><item><title>Build a content builder agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/content-builder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/content-builder/</guid><description>Build a content writing agent with brand memory, skills, subagents, and image generation</description></item><item><title>Build a content builder agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/content-builder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/content-builder/</guid><description>Build a content writing agent with brand memory, skills, subagents, and image generation</description></item><item><title>Build a custom RAG agent with LangGraph</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/agentic-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/agentic-rag/</guid><description/></item><item><title>Build a custom RAG agent with LangGraph</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/agentic-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/agentic-rag/</guid><description>&lt;p&gt;This guide shows how to build a RAG pipeline where the agent decides when and how to retrieve documents, rather than always retrieving on every query. Focus on the routing logic that lets the agent skip retrieval for questions it can answer directly — this is the key difference between naive RAG and agentic RAG. Compare this approach with Pinecone&amp;rsquo;s retrieval patterns and Cohere&amp;rsquo;s reranking strategies to see how different parts of the RAG stack complement each other. A common pitfall is over-retrieving: adding too many retrieval nodes or fetching too many documents degrades both latency and answer quality, so tune your retrieval thresholds carefully.&lt;/p&gt;</description></item><item><title>Build a custom SQL agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/sql-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/sql-agent/</guid><description/></item><item><title>Build a data analysis agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/data-analysis/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/data-analysis/</guid><description>Build an agent that analyzes data files, generates visualizations, and shares results</description></item><item><title>Build a deep research agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/deep-research/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/deep-research/</guid><description>Build a multi-step web research agent with subagent delegation</description></item><item><title>Build a deep research agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/deep-research/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/deep-research/</guid><description>Build a multi-step web research agent with subagent delegation</description></item><item><title>Build a multi-source knowledge base with routing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/router-knowledge-base/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/router-knowledge-base/</guid><description/></item><item><title>Build a multi-source knowledge base with routing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/router-knowledge-base/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/router-knowledge-base/</guid><description>&lt;p&gt;This guide demonstrates a router pattern where a top-level agent dispatches queries to specialized sub-agents based on the knowledge domain, which is one of the most practical multi-agent architectures for production systems. The routing mechanism avoids the cost and latency of sending every query to every knowledge source by using an LLM to classify intent first. Focus on how the router prompt is structured and how fallback behavior works when no sub-agent matches, as these are the failure modes you will encounter most in real deployments. Compare this approach with CrewAI&amp;rsquo;s delegation model and LangGraph&amp;rsquo;s conditional edges to understand the tradeoffs between explicit routing and emergent coordination.&lt;/p&gt;</description></item><item><title>Build a personal assistant with subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/subagents-personal-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/subagents-personal-assistant/</guid><description/></item><item><title>Build a personal assistant with subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/subagents-personal-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/subagents-personal-assistant/</guid><description/></item><item><title>Build a RAG agent with LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/rag/</guid><description/></item><item><title>Build a RAG agent with LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/rag/</guid><description>&lt;p&gt;This guide assembles LangChain&amp;rsquo;s retrieval primitives into a complete RAG agent capable of querying external knowledge and synthesizing answers with citations. The key architectural decision covered here is when to use a simple retrieval chain versus a full agentic RAG loop where the model decides whether and how to retrieve. Pay attention to the prompt engineering patterns for grounding LLM responses in retrieved context, as poorly constructed prompts are the primary cause of hallucination in RAG systems. Read the retrieval guide first for the underlying abstractions, then use this guide to see how they combine in a production-oriented pattern.&lt;/p&gt;</description></item><item><title>Build a semantic search engine with LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/knowledge-base/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/knowledge-base/</guid><description/></item><item><title>Build a semantic search engine with LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/knowledge-base/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/knowledge-base/</guid><description/></item><item><title>Build a SQL agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/sql-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/sql-agent/</guid><description/></item><item><title>Build a SQL agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/sql-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/sql-agent/</guid><description/></item><item><title>Build a SQL assistant with on-demand skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/skills-sql-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/skills-sql-assistant/</guid><description/></item><item><title>Build a SQL assistant with on-demand skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/skills-sql-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/skills-sql-assistant/</guid><description/></item><item><title>Build A Tool Using Agent</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/build-a-tool-using-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/build-a-tool-using-agent/</guid><description/></item><item><title>Build a voice agent with LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/voice-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/voice-agent/</guid><description/></item><item><title>Build a voice agent with LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/voice-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/voice-agent/</guid><description/></item><item><title>Build an MCP client</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-client/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-client/</guid><description>Get started building your own client that can integrate with all MCP servers.</description></item><item><title>Build an MCP server</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-server/</guid><description>Get started building your own server to use in Claude for Desktop and other clients.</description></item><item><title>Build an Onboarding Assistant with Cohere!</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/build-things-with-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/build-things-with-cohere/</guid><description>This page describes how to build an onboarding assistant with Cohere&amp;rsquo;s large language models.</description></item><item><title>Build Chatbots with MongoDB and Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/rag-cohere-mongodb/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/rag-cohere-mongodb/</guid><description>This page describes how to build a chatbot that provides actionable insights on technology company market reports.</description></item><item><title>Build Crew</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/build-crew/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/build-crew/</guid><description>A Crew is a group of agents that work together to complete a task.</description></item><item><title>Build customer support with handoffs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/handoffs-customer-support/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/handoffs-customer-support/</guid><description/></item><item><title>Build customer support with handoffs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/handoffs-customer-support/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/handoffs-customer-support/</guid><description/></item><item><title>Build with Agent Skills</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-with-agent-skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-with-agent-skills/</guid><description>Use agent skills to guide AI coding assistants through MCP server design and implementation</description></item><item><title>Build Your First Flow</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/flows/first-flow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/flows/first-flow/</guid><description>Learn how to create structured, event-driven workflows with precise control over execution.</description></item><item><title>Building a Chatbot with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/building-a-chatbot-with-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/building-a-chatbot-with-cohere/</guid><description>This page describes building a generative-AI powered chatbot with Cohere.</description></item><item><title>Building a Generative AI Agent with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/building-an-agent-with-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/building-an-agent-with-cohere/</guid><description>This page describes building a generative-AI powered agent with Cohere.</description></item><item><title>Building a RAG Workflow</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/building-a-rag-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/building-a-rag-workflow/</guid><description>Learn how to build a RAG workflow with Together AI embedding and chat endpoints!</description></item><item><title>Building An AI Data Analyst</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/data-analyst-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/data-analyst-agent/</guid><description>Learn how to use code interpreter to build an AI data analyst with E2B and Together AI.</description></item><item><title>Building an LLM Agent with the Cohere API</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/agent-api-calls/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/agent-api-calls/</guid><description>This page how to use Cohere&amp;rsquo;s API to build an LLM-based agent.</description></item><item><title>Building MCP servers for ChatGPT Apps and API integrations</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/mcp/</guid><description>Learn how to build MCP servers for use with ChatGPT Apps, deep research, or API integrations.</description></item><item><title>Building RAG models with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-with-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-with-cohere/</guid><description>This page walks through building a retrieval-augmented generation model with Cohere.</description></item><item><title>Building with AI</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/build/building-with-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/build/building-with-ai/</guid><description>Use LLMs to process unstructured data in your applications.</description></item><item><title>Built-in Evaluators</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/evaluators/built-in/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/evaluators/built-in/_overview/</guid><description/></item><item><title>Built-in Tools</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/builtin-tools/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/builtin-tools/_overview/</guid><description/></item><item><title>Bulk exporting trace data</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-export/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-export/</guid><description/></item><item><title>Caching</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/_caching/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/_caching/_overview/</guid><description/></item><item><title>Calendar Agent with Native Multi Step Tool</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/calendar-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/calendar-agent/</guid><description>This page describes how to use cohere Chat API with list_calendar_events and create_calendar_event tools to book appointments.</description></item><item><title>Call agents from code</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-code/</guid><description>Invoke Agent Builder agents from Python, JavaScript, or any language through the REST API.</description></item><item><title>Call agents from code</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/code/</guid><description>Invoke Fleet agents from Python, JavaScript, or any language through the REST API.</description></item><item><title>Call tools</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/tool-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/tool-calling/</guid><description>How to call tools with W&amp;amp;B Inference</description></item><item><title>Callback patterns</title><link>https://learn-ai.blindshot.kz/docs/google/adk/callbacks/design-patterns-and-best-practices/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/callbacks/design-patterns-and-best-practices/_overview/</guid><description/></item><item><title>Callbacks</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/callbacks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/callbacks/</guid><description/></item><item><title>Callbacks: Observe, Customize, and Control Agent Behavior</title><link>https://learn-ai.blindshot.kz/docs/google/adk/callbacks/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/callbacks/_overview/</guid><description/></item><item><title>Cancel Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/cancel-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/cancel-run/</guid><description/></item><item><title>Cancel Runs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/cancel-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/cancel-runs/</guid><description>Cancel one or more runs. Can cancel runs by thread ID and run IDs, or by status filter.</description></item><item><title>Cancelling Tasks</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/cancellation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/cancellation/_overview/</guid><description/></item><item><title>Capabilities</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/capabilities/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/capabilities/_overview/</guid><description/></item><item><title>Case studies</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/case-studies/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/case-studies/</guid><description/></item><item><title>Case studies</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/case-studies/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/case-studies/</guid><description/></item><item><title>Cerebras</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/cerebras/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/cerebras/_overview/</guid><description/></item><item><title>Cerebras</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/cerebras/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/cerebras/_overview/</guid><description/></item><item><title>Cerebras</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/cerebras/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/cerebras/</guid><description>Use Weave to trace and log LLM calls made via the Cerebras Cloud SDK</description></item><item><title>Change your payment method</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/change-payment-method/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/change-payment-method/</guid><description>Update billing payment method for your organization.</description></item><item><title>Change your payment method</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/change-payment-method/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/change-payment-method/</guid><description>Update your billing payment method.</description></item><item><title>Changelog</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/changelog/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/changelog/</guid><description/></item><item><title>Channels</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/channels/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/channels/</guid><description>Configure channels to trigger your Fleet agents automatically.</description></item><item><title>Chat Curl</title><link>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_curl/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_curl/</guid><description/></item><item><title>Chat Curl V3.1 Terminus</title><link>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_curl_v3/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_curl_v3/</guid><description/></item><item><title>Chat Nodejs</title><link>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_nodejs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_nodejs/</guid><description/></item><item><title>Chat Nodejs V3.1 Terminus</title><link>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_nodejs_v3/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_nodejs_v3/</guid><description/></item><item><title>Chat Prefix Completion</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/chat_prefix_completion/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/chat_prefix_completion/</guid><description/></item><item><title>Chat Python</title><link>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_python/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_python/</guid><description/></item><item><title>Chat Python V3.1 Terminus</title><link>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_python_v3/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/api_samples/chat_python_v3/</guid><description/></item><item><title>Chat template utilities</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/chat_template_utils/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/chat_template_utils/</guid><description/></item><item><title>Chat Templates</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/chat_templates/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/chat_templates/</guid><description/></item><item><title>Chat through the OpenAI-compatible interface</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/chat-through-the-openai-compatible-interface/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/chat-through-the-openai-compatible-interface/</guid><description>Integrate OpenAI-compatible chat interface with Pinecone Assistant.</description></item><item><title>Chat through the standard interface</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/chat-with-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/chat-with-assistant/</guid><description>Chat with your assistant using the standard interface and API.</description></item><item><title>ChatGPT Developer mode</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/developer-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/developer-mode/</guid><description>Full MCP client access for apps and tools.</description></item><item><title>ChatKit</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/chatkit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/chatkit/</guid><description>Embed a widget to build your own chat experiences.</description></item><item><title>ChatKit widgets</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/chatkit-widgets/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/chatkit-widgets/</guid><description>Learn how to design widgets in your chat experience with ChatKit.</description></item><item><title>Check data freshness</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/check-data-freshness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/check-data-freshness/</guid><description>Monitor data freshness in Pinecone using log sequence numbers and vector counts.</description></item><item><title>Checkpointing</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/checkpointing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/checkpointing/</guid><description>Track, rewind, and summarize Claude&amp;rsquo;s edits and conversation to manage session state.</description></item><item><title>Choose a permission mode</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/permission-modes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/permission-modes/</guid><description>Control whether Claude asks before editing files or running commands. Cycle modes with Shift+Tab in the CLI or use the mode selector in VS Code, Desktop, and claude.ai.</description></item><item><title>Choose a pod type and size</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/choose-a-pod-type-and-size/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/choose-a-pod-type-and-size/</guid><description>Select the right pod configuration for your workload</description></item><item><title>Choosing A Model</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/models/choosing-a-model/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/models/choosing-a-model/</guid><description>&lt;p&gt;The essential decision guide for anyone evaluating which Claude model to use. Anthropic organizes its models into tiers — Haiku for speed and cost efficiency, Sonnet for the best balance of capability and price, and Opus for maximum intelligence on complex tasks. For product leaders, the key insight is that model selection is a business decision, not just a technical one: choosing Haiku over Opus can reduce costs by 10-20x while still handling most routine tasks. Compare this tiered approach with OpenAI&amp;rsquo;s model lineup (GPT-4o, GPT-4o mini, o1) and Mistral&amp;rsquo;s range to understand how the industry structures the speed-cost-quality tradeoff.&lt;/p&gt;</description></item><item><title>Choosing between Graph and Functional APIs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/choosing-apis/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/choosing-apis/</guid><description/></item><item><title>Choosing between Graph and Functional APIs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/choosing-apis/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/choosing-apis/</guid><description/></item><item><title>Chroma and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/chroma-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/chroma-and-cohere/</guid><description>This page describes how to integrate Cohere and Chroma.</description></item><item><title>Chroma BM25</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/chroma-bm25/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/chroma-bm25/</guid><description/></item><item><title>Chroma Clients</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/run-chroma/clients/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/run-chroma/clients/</guid><description>Learn how to instantiate Chroma clients for Cloud, in-memory, and persistent use cases.</description></item><item><title>Chroma Cloud Qwen</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/chroma-cloud-qwen/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/chroma-cloud-qwen/</guid><description/></item><item><title>Chroma Cloud Splade</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/chroma-cloud-splade/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/chroma-cloud-splade/</guid><description/></item><item><title>Chroma's Thin-Client</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/python-thin-client/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/python-thin-client/</guid><description/></item><item><title>Chunking</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/build/chunking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/build/chunking/</guid><description/></item><item><title>CI/CD with Pinecone Local and GitHub Actions</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/automated-testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/automated-testing/</guid><description>Test Pinecone integration with CI/CD workflows.</description></item><item><title>Citation Formatting</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/citation-formatting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/citation-formatting/</guid><description>Learn practical citation formatting patterns that help models generate reliable citations.</description></item><item><title>Citations</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/citations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/citations/</guid><description/></item><item><title>Citations for tool use (function calling)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-citations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-citations/</guid><description>Guide on accessing and utilizing citations generated by the Cohere Chat endpoint for tool use. It covers both non-streaming and streaming modes (API v2).</description></item><item><title>clai</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/cli/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/cli/_overview/</guid><description/></item><item><title>Classifier Factory</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/finetuning/classifier-factory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/finetuning/classifier-factory/</guid><description>Create and fine-tune custom classification models for intent detection, moderation, sentiment analysis, and more using Mistral&amp;rsquo;s Classifier Factory</description></item><item><title>Claude</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/anthropic/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/anthropic/_overview/</guid><description/></item><item><title>Claude Agent SDK</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/claude_agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/claude_agent/</guid><description>Use W&amp;amp;B Weave with the Claude Agent SDK to trace your agent&amp;rsquo;s queries, tool calls, and multi-turn conversations.</description></item><item><title>Claude Api Skill</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/claude-api-skill/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/claude-api-skill/</guid><description/></item><item><title>Claude Code</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/claude-code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/claude-code/</guid><description>Use Claude Code with Fireworks AI models</description></item><item><title>Claude Code Analytics Api</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/claude-code-analytics-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/claude-code-analytics-api/</guid><description/></item><item><title>Claude Code Features</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/claude-code-features/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/claude-code-features/</guid><description/></item><item><title>Claude Code GitHub Actions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/github-actions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/github-actions/</guid><description>Learn about integrating Claude Code into your development workflow with Claude Code GitHub Actions</description></item><item><title>Claude Code GitLab CI/CD</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/gitlab-ci-cd/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/gitlab-ci-cd/</guid><description>Learn about integrating Claude Code into your development workflow with GitLab CI/CD</description></item><item><title>Claude Code in Slack</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/slack/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/slack/</guid><description>Delegate coding tasks directly from your Slack workspace</description></item><item><title>Claude Code on Amazon Bedrock</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/amazon-bedrock/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/amazon-bedrock/</guid><description>Learn about configuring Claude Code through Amazon Bedrock, including setup, IAM configuration, and troubleshooting.</description></item><item><title>Claude Code on Google Vertex AI</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/google-vertex-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/google-vertex-ai/</guid><description>Learn about configuring Claude Code through Google Vertex AI, including setup, IAM configuration, and troubleshooting.</description></item><item><title>Claude Code on Microsoft Foundry</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/microsoft-foundry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/microsoft-foundry/</guid><description>Learn about configuring Claude Code through Microsoft Foundry, including setup, configuration, and troubleshooting.</description></item><item><title>Claude Code on the web</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/claude-code-on-the-web/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/claude-code-on-the-web/</guid><description>Run Claude Code tasks asynchronously on secure cloud infrastructure</description></item><item><title>Claude Code Plugin</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/claude-code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/claude-code/</guid><description>Install the official Pinecone plugin for Claude Code to get skills, MCP tools, and slash commands for managing indexes and building AI applications.</description></item><item><title>Claude Code settings</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/settings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/settings/</guid><description>Configure Claude Code with global and project-level settings, and environment variables.</description></item><item><title>Claude Code with GitHub Enterprise Server</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/github-enterprise-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/github-enterprise-server/</guid><description>Connect Claude Code to your self-hosted GitHub Enterprise Server instance for web sessions, code review, and plugin marketplaces.</description></item><item><title>Claude In Microsoft Foundry</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/claude-in-microsoft-foundry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/claude-in-microsoft-foundry/</guid><description/></item><item><title>Claude On Amazon Bedrock</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/claude-on-amazon-bedrock/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/claude-on-amazon-bedrock/</guid><description/></item><item><title>Claude On Vertex Ai</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/claude-on-vertex-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/claude-on-vertex-ai/</guid><description/></item><item><title>Claude Prompting Best Practices</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/prompt-engineering/claude-prompting-best-practices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/prompt-engineering/claude-prompting-best-practices/</guid><description>&lt;p&gt;This is the most practically useful prompt engineering resource from Anthropic and contains techniques that will materially improve your output quality. Focus on the XML tag structuring approach, which is Claude&amp;rsquo;s preferred method for delineating sections of complex prompts and produces notably better results than unstructured instructions. A common mistake is transferring prompt patterns that work well with GPT-4 directly to Claude without adaptation &amp;ndash; Claude responds better to direct instructions and explicit role definitions than to few-shot example-heavy prompts. Read through the examples carefully and experiment with each technique in the API playground before applying them to production prompts.&lt;/p&gt;</description></item><item><title>ClickUp Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/clickup/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/clickup/</guid><description>Task and productivity management with ClickUp integration for CrewAI.</description></item><item><title>Client</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/mcp/client/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/mcp/client/_overview/</guid><description/></item><item><title>Client Sdks</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/client-sdks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/client-sdks/</guid><description/></item><item><title>Client-Server Mode</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/run-chroma/client-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/run-chroma/client-server/</guid><description>Learn how to run Chroma in client-server mode.</description></item><item><title>Client-side performance optimization</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/client-side-performance-optimization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/client-side-performance-optimization/</guid><description>Optimize your client code for maximum performance with dedicated deployments</description></item><item><title>Clone and export reports</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/reports/clone-and-export-reports/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/reports/clone-and-export-reports/</guid><description>Export a W&amp;amp;B Report as a PDF or LaTeX.</description></item><item><title>Cloud</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cloud/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cloud/</guid><description/></item><item><title>Cloud Run</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/cloud-run/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/cloud-run/_overview/</guid><description/></item><item><title>Cloudera AI</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/cloudera/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/cloudera/</guid><description>Vector embedding, RAG, and semantic search at scale</description></item><item><title>Cloudflare Workers AI</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/cloudflare-workers-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/cloudflare-workers-ai/</guid><description/></item><item><title>Cluster Storage</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/cluster-storage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/cluster-storage/</guid><description/></item><item><title>Cluster User Management</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/cluster-user-management/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/cluster-user-management/</guid><description/></item><item><title>Co-marketing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/comarketing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/comarketing/</guid><description/></item><item><title>Co-marketing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/comarketing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/comarketing/</guid><description/></item><item><title>Code Docs RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/codedocssearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/codedocssearchtool/</guid><description>The &amp;lsquo;CodeDocsSearchTool&amp;rsquo; is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within code documentation.</description></item><item><title>Code Embeddings</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/embeddings/code_embeddings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/embeddings/code_embeddings/</guid><description>Code embeddings enable retrieval, clustering, and analytics for code databases and coding assistants using Mistral AI&amp;rsquo;s API</description></item><item><title>Code Execution</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/code-execution/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/code-execution/</guid><description>Sandboxed code execution in AutoGen: Docker-based and local executors for running agent-generated code safely.</description></item><item><title>Code Execution Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/code-execution-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/code-execution-tool/</guid><description>&lt;p&gt;The code execution tool lets Claude run Python code in a sandboxed environment during a conversation, enabling data analysis, mathematical computation, and rapid prototyping without requiring external infrastructure. This is particularly valuable for tasks where Claude needs to verify its own reasoning through computation rather than relying on mental arithmetic or approximation. Note that the sandbox has limited package availability and no network access, so complex data science workflows may hit dependency walls. Use this tool when you need deterministic computation results embedded directly in Claude&amp;rsquo;s response rather than asking the user to run code separately.&lt;/p&gt;</description></item><item><title>Code generation</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/code-generation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/code-generation/</guid><description>Learn how to use OpenAI Codex models to generate code and build coding agents.</description></item><item><title>Code Interpreter</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/codeinterpretertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/codeinterpretertool/</guid><description>The &amp;lsquo;CodeInterpreterTool&amp;rsquo; is a powerful tool designed for executing Python 3 code within a secure, isolated environment.</description></item><item><title>Code Interpreter</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/code_interpreter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/code_interpreter/</guid><description>Code Interpreter enables safe, on-demand code execution for data analysis, graphing, and more in isolated containers</description></item><item><title>Code Interpreter</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-code-interpreter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-code-interpreter/</guid><description>Allow models to write and run Python to solve problems.</description></item><item><title>Code Review</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/code-review/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/code-review/</guid><description>Set up automated PR reviews that catch logic errors, security vulnerabilities, and regressions using multi-agent analysis of your full codebase</description></item><item><title>Coding</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/coding/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/coding/</guid><description>Mistral AI offers Codestral for code generation &amp;amp; FIM, and Devstral for agentic tool use in software development, with integrations for IDEs and frameworks</description></item><item><title>Coding Agent Skills</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/coding-agent-skills/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/coding-agent-skills/_overview/</guid><description/></item><item><title>Coding Agents</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/coding-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/coding-agents/</guid><description>Learn how to enable your CrewAI Agents to write and execute code, and explore advanced features for enhanced functionality.</description></item><item><title>Coding Tools</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/coding-tools/agents-md/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/coding-tools/agents-md/</guid><description>Use AGENTS.md to guide coding agents and IDEs across your CrewAI projects.</description></item><item><title>Cohere</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/cohere/</guid><description/></item><item><title>Cohere</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/cohere/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/cohere/_overview/</guid><description/></item><item><title>Cohere</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/cohere/</guid><description>Using Cohere and Pinecone to generate and index high-quality vector embeddings</description></item><item><title>Cohere</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/cohere/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/cohere/_overview/</guid><description/></item><item><title>Cohere</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/cohere/</guid><description>Use Weave to automatically track and log LLM calls made via the Cohere Python library</description></item><item><title>Cohere Chat on LangChain (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/chat-on-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/chat-on-langchain/</guid><description>Integrate Cohere with LangChain to build applications using Cohere&amp;rsquo;s models and LangChain tools.</description></item><item><title>Cohere Embed on LangChain (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/embed-on-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/embed-on-langchain/</guid><description>This page describes how to work with Cohere&amp;rsquo;s embeddings models and LangChain.</description></item><item><title>Cohere Labs Acceptable Use Policy</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-labs-acceptable-use-policy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-labs-acceptable-use-policy/</guid><description>&amp;ldquo;Promoting safe and ethical use of generative AI with guidelines to prevent misuse and abuse.&amp;rdquo;</description></item><item><title>Cohere Models on Amazon Bedrock</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/amazon-bedrock/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/amazon-bedrock/</guid><description>This document provides a guide for using Cohere&amp;rsquo;s models on Amazon Bedrock.</description></item><item><title>Cohere on Amazon Web Services (AWS)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-aws/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-aws/</guid><description>Access Cohere&amp;rsquo;s language models on AWS with customization options through Amazon SageMaker and Amazon Bedrock.</description></item><item><title>Cohere on Oracle Cloud Infrastructure (OCI)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/oracle-cloud-infrastructure-oci/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/oracle-cloud-infrastructure-oci/</guid><description>This page describes how to work with Cohere models on Oracle Cloud Infrastructure (OCI)</description></item><item><title>Cohere on the Microsoft Azure Platform</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-microsoft-azure/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-microsoft-azure/</guid><description>This page describes how to work with Cohere models on Microsoft Azure.</description></item><item><title>Cohere Rerank on LangChain (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/rerank-on-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/rerank-on-langchain/</guid><description>This page describes how to integrate Cohere&amp;rsquo;s ReRank models with LangChain.</description></item><item><title>Cohere SDK Cloud Platform Compatibility</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-works-everywhere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-works-everywhere/</guid><description>This page describes various places you can use Cohere&amp;rsquo;s SDK.</description></item><item><title>Cohere's Command A Reasoning Model</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a-reasoning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a-reasoning/</guid><description>Command A Reasoning excels in tool use, agentic workflows, and complex problem-solving. It has 111 billion parameters and a 256k context length.</description></item><item><title>Cohere's Command A Translate Model</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a-translate/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a-translate/</guid><description>Command A Translate is a state of the art model performant in 23 languages. It has a context length of 16K tokens and 111B parameters.</description></item><item><title>Cohere's Command R Model</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/command-r/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/command-r/</guid><description>Command R is a conversational model that excels in language tasks and supports multiple languages, making it ideal for coding use cases.</description></item><item><title>Cohere's Command R+ Model</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/command-r-plus/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/command-r-plus/</guid><description>Command R+ is Cohere&amp;rsquo;s optimized for conversational interaction and long-context tasks, best suited for complex RAG workflows and multi-step tool use.</description></item><item><title>Cohere's Command R7B Model</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/command-r7b/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/command-r7b/</guid><description>Command R7B is the smallest, fastest, and final model in our R family of enterprise-focused large language models. It excels at RAG, tool use, and agents.</description></item><item><title>Cohere's Embed Models (Details and Application)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-embed/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-embed/</guid><description>Explore Embed models for text classification and embedding generation in English and multiple languages, with details on dimensions and endpoints.</description></item><item><title>Cohere's Rerank Model (Details and Application)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/rerank/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/rerank/</guid><description>This page describes how Cohere&amp;rsquo;s Rerank models work and how to use them.</description></item><item><title>Collaborate on reports</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/reports/collaborate-on-reports/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/reports/collaborate-on-reports/</guid><description>Collaborate and share W&amp;amp;B Reports with peers, co-workers, and your team.</description></item><item><title>Collaborative agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/workflows/collaboration/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/workflows/collaboration/_overview/</guid><description/></item><item><title>Collect feedback and use annotations</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/feedback/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/feedback/</guid><description>Collect and analyze feedback for LLM applications through UI and SDK</description></item><item><title>Collection Forking</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/features/collection-forking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/features/collection-forking/</guid><description>Instant copy-on-write collection forking in Chroma Cloud.</description></item><item><title>Combined API docs</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/llms-full/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/llms-full/</guid><description>Single-file Markdown export of API guides and docs.</description></item><item><title>Comet Opik</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_opik/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_opik/_overview/</guid><description/></item><item><title>Command A</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a/</guid><description>Command A is a performant mode good at tool use, RAG, agents, and multilingual use cases. It has 111 billion parameters and a 256k context length.</description></item><item><title>Command Line</title><link>https://learn-ai.blindshot.kz/docs/google/adk/runtime/command-line/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/runtime/command-line/_overview/</guid><description/></item><item><title>Command Line Interface</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/command-line-interface/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/command-line-interface/</guid><description/></item><item><title>Command Line Interfaces (CLIs)</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/clis/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/clis/</guid><description/></item><item><title>Command R and Command R+ Model Card</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/responsible-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/responsible-use/</guid><description>This doc provides guidelines for using Cohere generation models ethically and constructively.</description></item><item><title>Common Tools</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/common-tools/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/common-tools/_overview/</guid><description/></item><item><title>Common workflows</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/common-workflows/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/common-workflows/</guid><description>Step-by-step guides for exploring codebases, fixing bugs, refactoring, testing, and other everyday tasks with Claude Code.</description></item><item><title>Community</title><link>https://learn-ai.blindshot.kz/docs/a2a/google/a2a/discussions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/google/a2a/discussions/</guid><description>Join discussions and contribute to protocol development</description></item><item><title>Community</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/community/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/community/</guid><description>Connect with the Weights &amp;amp; Biases community and learn from experts</description></item><item><title>Community Ports</title><link>https://learn-ai.blindshot.kz/docs/dspy/community/community-ports/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/community/community-ports/_overview/</guid><description/></item><item><title>Community Resources</title><link>https://learn-ai.blindshot.kz/docs/dspy/community/community-resources/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/community/community-resources/_overview/</guid><description/></item><item><title>Compaction</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/compaction/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/compaction/</guid><description/></item><item><title>Compaction</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/compaction/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/compaction/</guid><description>Manage long-running conversations with server-side and standalone compaction.</description></item><item><title>Compare and rank models</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/leaderboards/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/leaderboards/</guid><description>Compare and rank different model versions based on evaluation metrics</description></item><item><title>Compare Embeddings for retriever</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/compare_embeddings/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/compare_embeddings/_overview/</guid><description/></item><item><title>Compare LLMs using Ragas Evaluations</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/compare_llms/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/compare_llms/_overview/</guid><description/></item><item><title>Compare model performance using the Evaluation Playground</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/evaluation_playground/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/evaluation_playground/</guid><description>Compare and evaluate model performance without code using Weave&amp;rsquo;s interactive playground, running evaluations with custom datasets and LLM judges to test system prompts, models, and scoring criteria in a visual interface.</description></item><item><title>Compare models provided by VertexAI on RAG-based Q&amp;amp;A task using Ragas metrics</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/vertexai_model_comparision/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/vertexai_model_comparision/_overview/</guid><description/></item><item><title>Compare run metrics</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/run-comparer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/run-comparer/</guid><description>Compare metrics across multiple runs</description></item><item><title>Compare runs across projects</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/reports/cross-project-reports/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/reports/cross-project-reports/</guid><description>Compare runs from two different projects with cross-project reports.</description></item><item><title>Compare traces</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/compare-traces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/compare-traces/</guid><description/></item><item><title>Compare traces and other logged information</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/comparison/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/comparison/</guid><description>Visually compare and diff code, traces, prompts, models, and configurations</description></item><item><title>Comparison Testing</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/comparison_testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/comparison_testing/</guid><description/></item><item><title>Comparison with OpenCode and Claude Agent SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/comparison/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/comparison/</guid><description>Compare LangChain Deep Agents with OpenCode and Claude Agent SDK to choose the right tool for your use case</description></item><item><title>Comparison with OpenCode and Claude Agent SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/comparison/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/comparison/</guid><description>Compare LangChain Deep Agents with OpenCode and Claude Agent SDK to choose the right tool for your use case</description></item><item><title>Completions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/completions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/completions/</guid><description/></item><item><title>Completions API</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/completions-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/completions-api/</guid><description>Use the completions API for raw text generation with custom prompt templates</description></item><item><title>Completions API</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/completions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/completions/</guid><description/></item><item><title>Composio</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/composio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/composio/</guid><description>Using Composio With Together AI</description></item><item><title>Composio Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/composiotool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/composiotool/</guid><description>Composio provides 250+ production-ready tools for AI agents with flexible authentication management.</description></item><item><title>Computer use</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-computer-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-computer-use/</guid><description>Enable models to interact with computer interfaces — clicking, typing, and navigating applications via screenshots, creating agents that can operate any software.</description></item><item><title>Computer Use Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/computer-use-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/computer-use-tool/</guid><description>&lt;p&gt;Computer use enables Claude to interact with desktop environments through screenshots, mouse clicks, and keyboard input, effectively giving it the ability to operate any GUI application. This opens up automation for legacy software, web applications behind authentication, and workflows that lack APIs. Be aware that computer use is significantly slower and less reliable than API-based tool calling &amp;ndash; treat it as a last resort for tasks that genuinely have no programmatic interface. Start with constrained screen regions and simple click-type sequences before attempting complex multi-window workflows, and always implement human-in-the-loop checkpoints for destructive actions.&lt;/p&gt;</description></item><item><title>Conditional Tasks</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/conditional-tasks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/conditional-tasks/</guid><description>Learn how to use conditional tasks in a crewAI kickoff</description></item><item><title>Conditional tracing</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/conditional-tracing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/conditional-tracing/</guid><description/></item><item><title>Conditional Workflow</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/conditional-workflows/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/conditional-workflows/</guid><description>Adapt to different tasks by conditionally navigating to various LLMs and tools.</description></item><item><title>Configuration</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/configuration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/configuration/</guid><description>Configure the Deep Agents CLI with config.toml, hooks, and MCP servers</description></item><item><title>Configuration</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/config/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/config/</guid><description>Tune model selection, retry logic, rate limits, and runner policies for production workloads.</description></item><item><title>Configure audit logs</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/configure-audit-logs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/configure-audit-logs/</guid><description>Track user and API actions with audit log configuration.</description></item><item><title>Configure audit logs</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/configure-audit-logs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/configure-audit-logs/</guid><description>Enable audit logging to Amazon S3 for compliance</description></item><item><title>Configure checkpointer backend</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configure-checkpointer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configure-checkpointer/</guid><description>Configure Agent Server to use PostgreSQL, MongoDB, or a custom implementation for checkpoint storage.</description></item><item><title>Configure Collections</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/collections/configure/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/collections/configure/</guid><description>Learn how to configure Chroma collection index settings and embedding functions.</description></item><item><title>Configure custom TLS certificates</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-custom-tls-certificates/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-custom-tls-certificates/</guid><description/></item><item><title>Configure customer-managed encryption keys</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/configure-cmek/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/configure-cmek/</guid><description>Use customer-managed encryption keys with AWS KMS.</description></item><item><title>Configure environment variables</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/env-vars/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/env-vars/</guid><description>How to configure the W&amp;amp;B Server installation</description></item><item><title>Configure experiments</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/config/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/config/</guid><description>Use a dictionary-like object to save your experiment configuration</description></item><item><title>Configure IP allowlisting for Dedicated Cloud</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/data-security/ip-allowlisting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/data-security/ip-allowlisting/</guid><description/></item><item><title>Configure LangSmith Agent Server for scale</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-scale/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-scale/</guid><description/></item><item><title>Configure LangSmith for scale</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-scale/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-scale/</guid><description/></item><item><title>Configure permissions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/permissions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/permissions/</guid><description>Control what Claude Code can access and do with fine-grained permission rules, modes, and managed policies.</description></item><item><title>Configure private connectivity to Dedicated Cloud</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/data-security/private-connectivity/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/data-security/private-connectivity/</guid><description/></item><item><title>Configure Private Endpoints for AWS PrivateLink</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/connect-to-aws-privatelink/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/connect-to-aws-privatelink/</guid><description>Secure Pinecone with private VPC endpoints.</description></item><item><title>Configure prompt settings</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/managing-model-configurations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/managing-model-configurations/</guid><description/></item><item><title>Configure registry access</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/registry/configure_registry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/registry/configure_registry/</guid><description/></item><item><title>Configure run input and output preview</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configure-input-output-preview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configure-input-output-preview/</guid><description/></item><item><title>Configure server-managed settings (public beta)</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/server-managed-settings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/server-managed-settings/</guid><description>Centrally configure Claude Code for your organization through server-delivered settings, without requiring device management infrastructure.</description></item><item><title>Configure Slack alerts</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/monitoring-usage/slack-alerts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/monitoring-usage/slack-alerts/</guid><description/></item><item><title>Configure SSO with LDAP</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/ldap/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/ldap/</guid><description/></item><item><title>Configure SSO with OIDC</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/sso/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/sso/</guid><description/></item><item><title>Configure SSO with Okta</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/configure-sso-with-okta/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/configure-sso-with-okta/</guid><description>Enable SSO authentication using Okta integration.</description></item><item><title>Configure SSO with Okta</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/configure-single-sign-on/okta/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/configure-single-sign-on/okta/</guid><description>Configure SAML SSO with Okta for enterprise.</description></item><item><title>Configure threads</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/threads/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/threads/</guid><description/></item><item><title>Configure Weave environment variables</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/env-vars/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/env-vars/</guid><description>Configure Weave&amp;rsquo;s behavior at runtime using environment variables</description></item><item><title>Configure webhook notifications for LangSmith alerts</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/alerts-webhook/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/alerts-webhook/</guid><description/></item><item><title>Configure webhook notifications for rules</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/webhooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/webhooks/</guid><description/></item><item><title>Configure your collector for LangSmith telemetry</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-collector/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-collector/</guid><description/></item><item><title>Configuring streaming behavior</title><link>https://learn-ai.blindshot.kz/docs/google/adk/streaming/configuration/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/streaming/configuration/_overview/</guid><description/></item><item><title>Confluent</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/confluent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/confluent/</guid><description/></item><item><title>Connect an authentication provider</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/add-auth-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/add-auth-server/</guid><description/></item><item><title>Connect Claude Code to tools via MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/mcp/</guid><description>Learn how to connect Claude Code to your tools with the Model Context Protocol.</description></item><item><title>Connect to a custom model</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-endpoint/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-endpoint/</guid><description/></item><item><title>Connect to an external ClickHouse database</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-external-clickhouse/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-external-clickhouse/</guid><description/></item><item><title>Connect to an external PostgreSQL database</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-external-postgres/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-external-postgres/</guid><description/></item><item><title>Connect to an external Redis database</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-external-redis/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-external-redis/</guid><description/></item><item><title>Connect to an OpenAI compliant model provider/proxy</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-openai-compliant-model/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-openai-compliant-model/</guid><description/></item><item><title>Connect to any LLM</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-connections/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-connections/</guid><description>Comprehensive guide on integrating CrewAI with various Large Language Models (LLMs) using LiteLLM, including supported providers and configuration options.</description></item><item><title>Connect to local MCP servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/connect-local-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/connect-local-servers/</guid><description>Learn how to extend Claude Desktop with local MCP servers to enable file system access and other powerful integrations</description></item><item><title>Connect to remote MCP Servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/connect-remote-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/connect-remote-servers/</guid><description>Learn how to connect Claude to remote MCP servers and extend its capabilities with internet-hosted tools and data sources</description></item><item><title>Connect your users to Pinecone</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/build-integration/connect-your-users-to-pinecone/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/build-integration/connect-your-users-to-pinecone/</guid><description/></item><item><title>Connecting to Multiple MCP Servers</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/multiple-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/multiple-servers/</guid><description>Learn how to use MCPServerAdapter in CrewAI to connect to multiple MCP servers simultaneously and aggregate their tools.</description></item><item><title>Connectors and MCP servers</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-connectors-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-connectors-mcp/</guid><description>Use remote MCP servers and OpenAI-maintained connectors for popular services to give models new capabilities.</description></item><item><title>Console logs</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/console-logs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/console-logs/</guid><description/></item><item><title>Contact Support</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/contact-support/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/contact-support/</guid><description/></item><item><title>Content Moderation</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/content-moderation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/content-moderation/</guid><description>&lt;p&gt;This guide covers using Claude as a content moderation layer, including prompt design for classification, handling ambiguous cases, and calibrating sensitivity thresholds for different content categories. The practical impact is significant: a well-tuned Claude moderation pipeline can replace or augment dedicated moderation APIs at lower cost while offering more nuanced category distinctions. Pay attention to the latency and cost tradeoffs between using Haiku for high-volume screening versus Sonnet for borderline cases that need deeper reasoning. Combining Claude moderation with traditional keyword filters as a first pass is a pattern worth adopting early to keep API costs manageable at scale.&lt;/p&gt;</description></item><item><title>Context</title><link>https://learn-ai.blindshot.kz/docs/google/adk/context/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/context/_overview/</guid><description/></item><item><title>Context caching</title><link>https://learn-ai.blindshot.kz/docs/google/adk/context/caching/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/context/caching/_overview/</guid><description/></item><item><title>Context compression</title><link>https://learn-ai.blindshot.kz/docs/google/adk/context/compaction/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/context/compaction/_overview/</guid><description/></item><item><title>Context Data</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/context-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/context-data/</guid><description/></item><item><title>Context Editing</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/context-editing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/context-editing/</guid><description/></item><item><title>Context engineering in agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/context-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/context-engineering/</guid><description/></item><item><title>Context engineering in agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/context-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/context-engineering/</guid><description/></item><item><title>Context engineering in Deep Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/context-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/context-engineering/</guid><description>Control what context your deep agent has access to and how it is managed across long-running tasks</description></item><item><title>Context engineering in Deep Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/context-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/context-engineering/</guid><description>Control what context your deep agent has access to and how it is managed across long-running tasks</description></item><item><title>Context strategies</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/context/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/context/</guid><description>Control what past messages, attachments, and tool runs are injected into prompts.</description></item><item><title>Context Windows</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/context-windows/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/context-windows/</guid><description/></item><item><title>Contextual AI</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/contextual-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/contextual-ai/</guid><description/></item><item><title>Continue local sessions from any device with Remote Control</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/remote-control/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/remote-control/</guid><description>Continue a local Claude Code session from your phone, tablet, or any browser using Remote Control. Works with claude.ai/code and the Claude mobile app.</description></item><item><title>Contribute to PEFT</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/contributing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/contributing/</guid><description/></item><item><title>Contributing</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/development/contributing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/development/contributing/</guid><description>How to participate in Agent User Interaction Protocol development</description></item><item><title>Contributing</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/contributing/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/contributing/_overview/</guid><description/></item><item><title>Contributing integrations</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/integrations-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/integrations-langchain/</guid><description/></item><item><title>Contributing integrations</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/integrations-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/integrations-langchain/</guid><description/></item><item><title>Contributing to code</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/code/</guid><description/></item><item><title>Contributing to code</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/code/</guid><description/></item><item><title>Contributing to documentation</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/documentation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/documentation/</guid><description/></item><item><title>Contributing to documentation</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/documentation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/documentation/</guid><description/></item><item><title>Contributing to MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/contributing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/contributing/</guid><description>How to contribute to the Model Context Protocol project</description></item><item><title>Contributor Communication</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/communication/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/communication/</guid><description>Communication strategy and framework for the Model Context Protocol community</description></item><item><title>Contributor Ladder</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/contributor-ladder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/contributor-ladder/</guid><description>Roles, responsibilities, and advancement criteria for MCP contributors, from first contribution to Core Maintainer</description></item><item><title>Control automatic LLM call tracking</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/autopatching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/autopatching/</guid><description>Control how W&amp;amp;B Weave automatically records calls to OpenAI, Anthropic, and other LLM libraries</description></item><item><title>control_plane_api</title><link>https://learn-ai.blindshot.kz/docs/pinecone/control_plane_api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/control_plane_api/</guid><description/></item><item><title>Conversation Simulator</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator/</guid><description/></item><item><title>Conversation Simulator Custom Templates</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator-custom-templates/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator-custom-templates/</guid><description/></item><item><title>Conversation Simulator Lifecycle Hooks</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator-lifecycle-hooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator-lifecycle-hooks/</guid><description/></item><item><title>Conversation Simulator Model Callback</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator-model-callback/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator-model-callback/</guid><description/></item><item><title>Conversation Simulator Simulation Graph</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator-simulation-graph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator-simulation-graph/</guid><description/></item><item><title>Conversation Simulator Stopping Logic</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator-stopping-logic/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/conversation-simulator-stopping-logic/</guid><description/></item><item><title>Conversation state</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/conversation-state/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/conversation-state/</guid><description>Learn how to manage conversation state during a model interaction with the OpenAI API.</description></item><item><title>Convert weights to safetensors</title><link>https://learn-ai.blindshot.kz/docs/safetensors/main/convert-weights/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/safetensors/main/convert-weights/</guid><description/></item><item><title>Copy Collections</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/copy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/copy/</guid><description>Copy collections between local Chroma and Chroma Cloud.</description></item><item><title>Copy Thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/copy-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/copy-thread/</guid><description>Create a new thread with a copy of the state and checkpoints from an existing thread.</description></item><item><title>CORS Issues</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/cors-issues/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/cors-issues/</guid><description/></item><item><title>Cortex</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/cortex/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/cortex/_overview/</guid><description/></item><item><title>Cost Analysis</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/_cost/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/_cost/_overview/</guid><description/></item><item><title>Cost Estimator</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/rft-cost-estimator/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/rft-cost-estimator/</guid><description>Estimate and optimize the cost of your RFT training jobs</description></item><item><title>Cost optimization</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/cost-optimization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/cost-optimization/</guid><description>Lower your OpenAI model costs by trying our tools and strategies.</description></item><item><title>Cost tracking</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cost-tracking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cost-tracking/</guid><description/></item><item><title>Cost Tracking</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/cost-tracking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/cost-tracking/</guid><description>&lt;p&gt;Cost tracking in agentic workflows is substantially more complex than single-call API usage because agents make multiple model calls, tool invocations, and potentially spawn sub-agents — all of which accumulate tokens. This guide shows how to instrument the Agent SDK to capture per-turn and per-agent cost breakdowns. Focus on the callback hooks that expose token counts at each step, as these are the foundation for building budget limits and alerting. Without proactive cost tracking, a single runaway agent loop can consume your entire API budget in minutes, making this essential reading before any production deployment.&lt;/p&gt;</description></item><item><title>Counting tokens</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/token-counting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/token-counting/</guid><description>Count input tokens precisely for text, images, files, and tools using the Responses API — essential for cost management and context window planning.</description></item><item><title>CPO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/cpo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/cpo_trainer/</guid><description/></item><item><title>Create a collection</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/registry/create_collection/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/registry/create_collection/</guid><description/></item><item><title>Create a pod-based index</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/create-a-pod-based-index/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/create-a-pod-based-index/</guid><description>Create and configure a pod-based Pinecone index</description></item><item><title>Create a project</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/create-a-project/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/create-a-project/</guid><description>Create a new Pinecone project in your organization.</description></item><item><title>Create a project</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/projects/create-a-project/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/projects/create-a-project/</guid><description>Create a new Pinecone project in your organization.</description></item><item><title>Create a prompt</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/create-a-prompt/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/create-a-prompt/</guid><description/></item><item><title>Create a registry</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/registry/create_registry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/registry/create_registry/</guid><description/></item><item><title>Create a report</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/reports/create-a-report/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/reports/create-a-report/</guid><description>Create a W&amp;amp;B Report with the W&amp;amp;B App or programmatically.</description></item><item><title>Create a Slack automation</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/automations/create-automations/slack/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/automations/create-automations/slack/</guid><description/></item><item><title>Create a webhook automation</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/automations/create-automations/webhook/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/automations/create-automations/webhook/</guid><description/></item><item><title>Create an account and API key</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/create-account-api-key/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/create-account-api-key/</guid><description/></item><item><title>Create an artifact alias</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/create-a-custom-alias/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/create-a-custom-alias/</guid><description>Create custom aliases for W&amp;amp;B Artifacts.</description></item><item><title>Create an artifact version</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/create-a-new-artifact-version/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/create-a-new-artifact-version/</guid><description>Create a new artifact version from a single run or from a distributed process.</description></item><item><title>Create an assistant</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/create-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/create-assistant/</guid><description>Create and deploy a Pinecone Assistant for your knowledge base.</description></item><item><title>Create an experiment</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/create-an-experiment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/create-an-experiment/</guid><description>Create a W&amp;amp;B Experiment.</description></item><item><title>Create an index</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/create-an-index/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/create-an-index/</guid><description>Create dense or sparse indexes for semantic and lexical search.</description></item><item><title>Create an Ingress for installations (Kubernetes)</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-ingress/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-ingress/</guid><description/></item><item><title>Create and distribute a plugin marketplace</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/plugin-marketplaces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/plugin-marketplaces/</guid><description>Build and host plugin marketplaces to distribute Claude Code extensions across teams and communities.</description></item><item><title>Create and manage datasets in the UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-datasets-in-application/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-datasets-in-application/</guid><description/></item><item><title>Create and manage saved views</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/saved-views/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/saved-views/</guid><description>Customize how you interact with traced function calls and evaluations</description></item><item><title>Create and manage vectors with metadata</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/create-and-manage-vectors-with-metadata/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/create-and-manage-vectors-with-metadata/</guid><description/></item><item><title>Create and track plots from experiments</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/plots/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/plots/</guid><description>Create and track plots from machine learning experiments.</description></item><item><title>Create Assistant</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/create-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/create-assistant/</guid><description>Create an assistant.</description></item><item><title>Create Background Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-background-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-background-run/</guid><description>Create a run and return the run ID immediately. Don&amp;rsquo;t wait for the final run output.</description></item><item><title>Create Background Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-background-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-background-run/</guid><description>Create a run in existing thread, return the run ID immediately. Don&amp;rsquo;t wait for the final run output.</description></item><item><title>Create Chat Completion</title><link>https://learn-ai.blindshot.kz/docs/deepseek/api/create-chat-completion/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/api/create-chat-completion/</guid><description/></item><item><title>Create Completion</title><link>https://learn-ai.blindshot.kz/docs/deepseek/api/create-completion/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/api/create-completion/</guid><description/></item><item><title>Create Cron</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/create-cron/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/create-cron/</guid><description>Create a cron to schedule runs on new threads.</description></item><item><title>Create Custom Tools</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/create-custom-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/create-custom-tools/</guid><description>Comprehensive guide on crafting, using, and managing custom tools within the CrewAI framework, including new functionalities and error handling.</description></item><item><title>Create dynamic Leaderboards in Evaluations</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/dynamic_leaderboards/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/dynamic_leaderboards/</guid><description>Dynamic Leaderboards let you configure, customize, save, and update Leaderboard views directly from an evaluation.</description></item><item><title>Create plugins</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/plugins/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/plugins/</guid><description>Create custom plugins to extend Claude Code with skills, agents, hooks, and MCP servers.</description></item><item><title>Create Run Batch</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-batch/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-batch/</guid><description>Create a batch of runs and return immediately.</description></item><item><title>Create Run, Stream Output</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-stream-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-stream-output/</guid><description>Create a run and stream the output.</description></item><item><title>Create Run, Stream Output</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-run-stream-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-run-stream-output/</guid><description>Create a run in existing thread. Stream the output.</description></item><item><title>Create Run, Wait for Output</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-wait-for-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-wait-for-output/</guid><description>Create a run, wait for the final output and then return it.</description></item><item><title>Create Run, Wait for Output</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-run-wait-for-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-run-wait-for-output/</guid><description>Create a run in existing thread. Wait for the final output and then return it.</description></item><item><title>Create Thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/create-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/create-thread/</guid><description>Create a thread.</description></item><item><title>Create Thread Cron</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/create-thread-cron/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/create-thread-cron/</guid><description>Create a cron to schedule runs on a thread.</description></item><item><title>Create Tickets In Slack</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/create-tickets-in-slack/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/create-tickets-in-slack/</guid><description>For customers who have a shared Slack channel with us</description></item><item><title>Creating a client</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/create-client/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/create-client/</guid><description>A guide for creating Cohere API client using Cohere SDK, supported in 4 different languages – Python, TypeScript, Java, and Go.</description></item><item><title>Creating a QA Bot From Technical Documentation</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/creating-a-qa-bot/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/creating-a-qa-bot/</guid><description>This page describes how to use Cohere to build a simple question-answering system.</description></item><item><title>Creating and Managing Your Account</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/account-management/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/account-management/</guid><description>Sign up for Together AI, get your API key, and manage your account settings</description></item><item><title>Credits</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/billing-credits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/billing-credits/</guid><description>Understanding credits and billing basics on Together AI.</description></item><item><title>Crew Studio</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/crew-studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/crew-studio/</guid><description>Build new automations with AI assistance, a visual editor, and integrated testing.</description></item><item><title>CrewAI</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/crewai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/crewai/</guid><description>Using CrewAI with Together</description></item><item><title>CrewAI</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/crewai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/crewai/</guid><description>Integrate CrewAI with Weave for monitoring and tracing multi-agent applications</description></item><item><title>CrewAI Documentation</title><link>https://learn-ai.blindshot.kz/docs/crewai/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/_overview/</guid><description>Build collaborative AI agents, crews, and flows — production ready from day one.</description></item><item><title>CrewAI Run Automation Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/crewaiautomationtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/crewaiautomationtool/</guid><description>Enables CrewAI agents to invoke CrewAI Platform automations and leverage external crew services within your workflows.</description></item><item><title>CrewAI Tracing</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/tracing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/tracing/</guid><description>Built-in tracing for CrewAI Crews and Flows with the CrewAI AMP platform</description></item><item><title>CrewGPT</title><link>https://learn-ai.blindshot.kz/docs/crewai/g/g-qqtuuwsby-crewai-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/g/g-qqtuuwsby-crewai-assistant/</guid><description/></item><item><title>Criteria</title><link>https://learn-ai.blindshot.kz/docs/google/adk/evaluate/criteria/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/evaluate/criteria/_overview/</guid><description/></item><item><title>CSV RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/csvsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/csvsearchtool/</guid><description>The &amp;lsquo;CSVSearchTool&amp;rsquo; is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a CSV file&amp;rsquo;s content.</description></item><item><title>Custom agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/custom-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/custom-agents/_overview/</guid><description/></item><item><title>Custom data processing agreements</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/custom-data-processing-agreements/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/custom-data-processing-agreements/</guid><description/></item><item><title>Custom Evaluators</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/evaluators/custom/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/evaluators/custom/_overview/</guid><description/></item><item><title>Custom instrumentation</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/annotate-code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/annotate-code/</guid><description/></item><item><title>Custom LLM Implementation</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/custom-llm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/custom-llm/</guid><description>Learn how to create custom LLM implementations in CrewAI.</description></item><item><title>Custom Manager Agent</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/custom-manager-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/custom-manager-agent/</guid><description>Learn how to set a custom agent as the manager in CrewAI, providing more control over task management and coordination.</description></item><item><title>Custom MCP Servers</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/custom-mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/custom-mcp-server/</guid><description>Connect your own MCP servers to CrewAI AMP with public access, API key authentication, or OAuth 2.0</description></item><item><title>Custom Metrics</title><link>https://learn-ai.blindshot.kz/docs/google/adk/evaluate/custom_metrics/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/evaluate/custom_metrics/_overview/</guid><description/></item><item><title>Custom middleware</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/middleware/custom/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/middleware/custom/</guid><description/></item><item><title>Custom middleware</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/middleware/custom/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/middleware/custom/</guid><description/></item><item><title>Custom model providers</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/cli/providers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/cli/providers/</guid><description>Configure any LangChain-compatible model provider for the Deep Agents CLI</description></item><item><title>Custom model providers</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/providers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/providers/</guid><description>Configure any LangChain-compatible model provider for the Deep Agents CLI</description></item><item><title>Custom models</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/custom_models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/custom_models/</guid><description/></item><item><title>Custom Models</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/models/uploading-custom-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/models/uploading-custom-models/</guid><description>Upload, verify, and deploy your own models from Hugging Face or elsewhere</description></item><item><title>Custom Multi-hop Query</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/_testgen-customisation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/_testgen-customisation/_overview/</guid><description/></item><item><title>Custom output rendering</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-output-rendering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-output-rendering/</guid><description/></item><item><title>Custom Single-hop Query</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/_testgen-custom-single-hop/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/_testgen-custom-single-hop/_overview/</guid><description/></item><item><title>Custom Structured Output</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/custom/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/custom/</guid><description>Define and enforce JSON output formats using Pydantic or Zod schemas with Mistral AI</description></item><item><title>Custom Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/custom-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/custom-tools/</guid><description>&lt;p&gt;Custom tools are how you give your agent the ability to take actions beyond conversation &amp;ndash; calling APIs, querying databases, executing code, or interacting with any external system. Focus on how the tool&amp;rsquo;s JSON schema definition directly affects the model&amp;rsquo;s ability to invoke it correctly; poorly described parameters are the most common source of tool invocation failures. Pay special attention to error handling within tool implementations, since unhandled exceptions will surface as opaque failures in the agentic loop. If your tools need to call external MCP servers instead, read the MCP integration guide as an alternative approach.&lt;/p&gt;</description></item><item><title>Custom Tools for ADK</title><link>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/_overview/</guid><description/></item><item><title>Custom workflow</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/custom-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/custom-workflow/</guid><description/></item><item><title>Custom workflow</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/custom-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/custom-workflow/</guid><description/></item><item><title>Customer Support Chat</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/customer-support-chat/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/customer-support-chat/</guid><description>Building an AI-powered customer support chatbot with Claude, including architecture patterns and quality safeguards.</description></item><item><title>Customer Ticket Portal</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/support-ticket-portal/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/support-ticket-portal/</guid><description/></item><item><title>Customise models</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/customize_models/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/customize_models/_overview/</guid><description/></item><item><title>Customizations</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/_overview/</guid><description/></item><item><title>Customize Deep Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/customization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/customization/</guid><description>Learn how to customize deep agents with system prompts, tools, subagents, and more</description></item><item><title>Customize Deep Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/customization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/customization/</guid><description>Learn how to customize deep agents with system prompts, tools, subagents, and more</description></item><item><title>Customize keyboard shortcuts</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/keybindings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/keybindings/</guid><description>Customize keyboard shortcuts in Claude Code with a keybindings configuration file.</description></item><item><title>Customize log axes</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/customize-logging-axes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/customize-logging-axes/</guid><description/></item><item><title>Customize run colors</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/run-colors/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/run-colors/</guid><description/></item><item><title>Customize the error support message</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-ui-customization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-ui-customization/</guid><description>Customize support contact information in the LangSmith frontend for self-hosted deployments.</description></item><item><title>Customize user management</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-user-management/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-user-management/</guid><description/></item><item><title>Customize your status line</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/statusline/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/statusline/</guid><description>Configure a custom status bar to monitor context window usage, costs, and git status in Claude Code</description></item><item><title>Customizing Prompts</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/advanced/customizing-prompts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/advanced/customizing-prompts/</guid><description>Dive deeper into low-level prompt customization for CrewAI, enabling super custom and complex use cases for different models and languages.</description></item><item><title>Customizing Test Data Generation</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/_overview/</guid><description/></item><item><title>Cybersecurity checks</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/safety-checks/cybersecurity/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/safety-checks/cybersecurity/</guid><description>&lt;p&gt;OpenAI&amp;rsquo;s cybersecurity checks documentation details the built-in safeguards that prevent models from generating malicious code, exploitation techniques, or detailed vulnerability instructions. Understanding these guardrails matters when building security-adjacent applications like code review tools or penetration testing assistants, where legitimate security content can trigger false positives. Focus on the boundary between allowed and blocked content so you can design prompts that stay within policy while still being useful for defensive security work. If your application handles security-sensitive domains, read this before encountering unexpected refusals in production.&lt;/p&gt;</description></item><item><title>DALL-E Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/dalletool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/dalletool/</guid><description>The &amp;lsquo;DallETool&amp;rsquo; is a powerful tool designed for generating images from textual descriptions.</description></item><item><title>Data deletion on Pinecone</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/data-deletion/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/data-deletion/</guid><description>Understand Pinecone&amp;rsquo;s secure data deletion process.</description></item><item><title>Data encryption in Dedicated Cloud</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/data-security/data-encryption/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/data-security/data-encryption/</guid><description/></item><item><title>Data handling</title><link>https://learn-ai.blindshot.kz/docs/google/adk/workflows/data-handling/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/workflows/data-handling/_overview/</guid><description/></item><item><title>Data Handling</title><link>https://learn-ai.blindshot.kz/docs/dspy/learn/evaluation/data/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/learn/evaluation/data/_overview/</guid><description/></item><item><title>Data modeling</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/data-modeling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/data-modeling/</guid><description>Learn how to structure records for efficient data retrieval and management in Pinecone.</description></item><item><title>Data Privacy</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/data-privacy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/data-privacy/</guid><description/></item><item><title>Data purging for compliance</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-purging-compliance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-purging-compliance/</guid><description/></item><item><title>Data Residency</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/data-residency/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/data-residency/</guid><description/></item><item><title>Data Security</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/security_compliance/data_security/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/security_compliance/data_security/</guid><description>How we secure and handle your data for inference and training</description></item><item><title>Data storage and privacy</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-storage-and-privacy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-storage-and-privacy/</guid><description/></item><item><title>Data usage</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/data-usage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/data-usage/</guid><description>Learn about Anthropic&amp;rsquo;s data usage policies for Claude</description></item><item><title>Data Utilities</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/data_utils/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/data_utils/</guid><description/></item><item><title>data_plane_api</title><link>https://learn-ai.blindshot.kz/docs/pinecone/data_plane_api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/data_plane_api/</guid><description/></item><item><title>Databricks</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/databricks/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/databricks/_overview/</guid><description/></item><item><title>Databricks</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/databricks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/databricks/</guid><description>Using Databricks and Pinecone to create and index vector embeddings at scale</description></item><item><title>Databricks SQL Query Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/databricks-query-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/databricks-query-tool/</guid><description>The &amp;lsquo;DatabricksQueryTool&amp;rsquo; executes SQL queries against Databricks workspace tables.</description></item><item><title>Datadog</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/datadog/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/datadog/</guid><description>Monitoring Pinecone with Datadog</description></item><item><title>Datadog Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/datadog/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/datadog/</guid><description>Learn how to integrate Datadog with CrewAI to submit LLM Observability traces to Datadog.</description></item><item><title>Dataset formats and types</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/dataset_formats/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/dataset_formats/</guid><description/></item><item><title>Dataset prebuilt JSON schema types</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/dataset-json-types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/dataset-json-types/</guid><description/></item><item><title>Dataset transformations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/dataset-transformations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/dataset-transformations/</guid><description/></item><item><title>Datavolo</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/datavolo/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/datavolo/</guid><description/></item><item><title>DB Management</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/db/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/db/</guid><description>Manage your Chroma Cloud databases using the CLI.</description></item><item><title>DBOS</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/durable_execution/dbos/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/durable_execution/dbos/_overview/</guid><description/></item><item><title>Debug model vs. Pinecone recall issues</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/debug-model-vs-pinecone-recall-issues/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/debug-model-vs-pinecone-recall-issues/</guid><description/></item><item><title>Debug SFT tokenization</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/debug-sft-tokenization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/debug-sft-tokenization/</guid><description>Download rendered token IDs and loss masks for supervised fine-tuning jobs.</description></item><item><title>Debugging</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tools/debugging/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tools/debugging/</guid><description>A comprehensive guide to debugging Model Context Protocol (MCP) integrations</description></item><item><title>Debugging &amp; Monitoring with Pydantic Logfire</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/logfire/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/logfire/_overview/</guid><description/></item><item><title>Decisions</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/graph/beta/decisions/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/graph/beta/decisions/_overview/</guid><description/></item><item><title>Decrease latency</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/optimize/decrease-latency/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/optimize/decrease-latency/</guid><description>Learn techniques to decrease latency for search and upsert operations.</description></item><item><title>Dedicated Cloud</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/dedicated_cloud/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/dedicated_cloud/</guid><description>Deploy W&amp;amp;B Dedicated Cloud in production</description></item><item><title>Dedicated Endpoints FAQs</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated-endpoints/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated-endpoints/</guid><description/></item><item><title>Dedicated Inference</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated-inference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated-inference/</guid><description>Deploy models on your own custom endpoints for improved reliability at scale</description></item><item><title>Dedicated Models</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated-models/</guid><description/></item><item><title>Dedicated Read Nodes</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/dedicated-read-nodes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/dedicated-read-nodes/</guid><description>Dedicated read nodes use provisioned hardware for read operations, providing predictable, low-latency performance at high query volumes.</description></item><item><title>Deep Dive Into Evaluating RAG Outputs</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/rag-evaluation-deep-dive/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/rag-evaluation-deep-dive/</guid><description>This page contains information on evaluating the output of RAG systems.</description></item><item><title>Deep research</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/deep-research/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/deep-research/</guid><description>Use deep research models for autonomous multi-step research tasks — the model browses the web, synthesizes information, and produces comprehensive reports.</description></item><item><title>DeepEval</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/deepeval/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/deepeval/</guid><description/></item><item><title>DeepSeek</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/deepseek/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/deepseek/_overview/</guid><description/></item><item><title>Deepseek Api</title><link>https://learn-ai.blindshot.kz/docs/deepseek/api/deepseek-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/api/deepseek-api/</guid><description/></item><item><title>DeepSeek FAQs</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/deepseek-faqs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/deepseek-faqs/</guid><description/></item><item><title>DeepSpeed</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/accelerate/deepspeed/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/accelerate/deepspeed/</guid><description/></item><item><title>DeepSpeed Integration</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/deepspeed_integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/deepspeed_integration/</guid><description/></item><item><title>Deferred Tools</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/deferred-tools/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/deferred-tools/_overview/</guid><description/></item><item><title>Define and log attributes</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/attributes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/attributes/</guid><description>Use attributes to add meta data to your traces and evaluations.</description></item><item><title>Define Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/define-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/define-tools/</guid><description/></item><item><title>Delete an artifact</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/delete-artifacts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/delete-artifacts/</guid><description>Delete artifacts interactively with the App UI or programmatically with the W&amp;amp;B Python SDK.</description></item><item><title>Delete an item.</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/delete-an-item/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/delete-an-item/</guid><description/></item><item><title>Delete Assistant</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/delete-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/delete-assistant/</guid><description>Delete an assistant by ID.</description></item><item><title>Delete Cron</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/delete-cron/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/delete-cron/</guid><description>Delete a cron by ID.</description></item><item><title>Delete Data</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/collections/delete-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/collections/delete-data/</guid><description>Learn how to delete data from Chroma collections.</description></item><item><title>Delete organizations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-delete-an-organization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-delete-an-organization/</guid><description/></item><item><title>Delete records</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/delete-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/delete-data/</guid><description>Delete records by ID or metadata filter from indexes</description></item><item><title>Delete registry</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/registry/delete_registry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/registry/delete_registry/</guid><description/></item><item><title>Delete Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/delete-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/delete-run/</guid><description>Delete a run by ID.</description></item><item><title>Delete runs</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/delete-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/delete-runs/</guid><description>Learn how to delete runs from a W&amp;amp;B project using the W&amp;amp;B App.</description></item><item><title>Delete Thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/delete-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/delete-thread/</guid><description>Delete a thread by ID.</description></item><item><title>Delete traces</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-delete-traces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-delete-traces/</guid><description/></item><item><title>Delete workspaces</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-delete-a-workspace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-delete-a-workspace/</guid><description/></item><item><title>Delete your account</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/delete-your-account/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/delete-your-account/</guid><description/></item><item><title>Delete your organization</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/delete-your-organization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/delete-your-organization/</guid><description/></item><item><title>Dependencies</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/dependencies/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/dependencies/_overview/</guid><description/></item><item><title>Deploy an observability stack for your LangSmith deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/observability-stack/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/observability-stack/</guid><description/></item><item><title>Deploy Finetuned Command Models from AWS Marketplace</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/bring-your-finetuned-models-to-sagemaker/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/bring-your-finetuned-models-to-sagemaker/</guid><description>This document provides a guide for bringing your own finetuned models to Amazon SageMaker.</description></item><item><title>Deploy on Air-Gapped Kubernetes</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/on-premises-deployments/kubernetes-airgapped/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/on-premises-deployments/kubernetes-airgapped/</guid><description>Deploy W&amp;amp;B Platform in air-gapped and disconnected Kubernetes environments</description></item><item><title>Deploy on Cloud</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-to-cloud/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-to-cloud/</guid><description/></item><item><title>Deploy other frameworks</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-other-frameworks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-other-frameworks/</guid><description/></item><item><title>Deploy to AMP</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/deploy-to-amp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/deploy-to-amp/</guid><description>Deploy your Crew or Flow to CrewAI AMP</description></item><item><title>Deploy to Vertex AI Agent Engine</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/_overview/</guid><description/></item><item><title>Deploy W&amp;B with Kubernetes Operator</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/operator/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/operator/</guid><description>Deploy W&amp;amp;B Platform with Kubernetes Operator on cloud or on-premises</description></item><item><title>Deploy with Cerebrium</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/cerebrium/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/cerebrium/</guid><description>Deploy AI apps effortlessly with Cerebrium&amp;rsquo;s serverless GPU infrastructure and auto-scaling.&amp;quot; (99 characters)</description></item><item><title>Deploy with Cloudflare Workers AI</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/cloudflare/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/cloudflare/</guid><description>Deploy AI models on Cloudflare&amp;rsquo;s global network with Workers AI for serverless GPU-powered LLMs</description></item><item><title>Deploy with control plane</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-with-control-plane/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-with-control-plane/</guid><description/></item><item><title>Deploy with SkyPilot</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/skypilot/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/skypilot/</guid><description>Deploy AI models on any cloud with SkyPilot for cost savings, high GPU availability, and managed execution</description></item><item><title>Deploy your finetuned model on AWS Marketplace</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/deploy-finetuned-model-aws-marketplace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/deploy-finetuned-model-aws-marketplace/</guid><description>Learn how to deploy your finetuned model on AWS Marketplace.</description></item><item><title>Deploying a Fine-tuned Model</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/deploying-a-fine-tuned-model/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/deploying-a-fine-tuned-model/</guid><description>Once your fine-tune job completes, you should see your new model in &lt;a href="https://api.together.xyz/models"&gt;your models dashboard&lt;/a&gt;.</description></item><item><title>Deploying Dedicated Endpoints</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated-endpoints-ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated-endpoints-ui/</guid><description>Guide to creating dedicated endpoints via the web UI.</description></item><item><title>Deploying Fine Tuned Models</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/deploying-loras/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/deploying-loras/</guid><description>Deploy one or multiple LoRA models fine tuned on Fireworks using live merge or multi-LoRA</description></item><item><title>Deploying Models in Private Environments</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/single-container-on-private-clouds/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/single-container-on-private-clouds/</guid><description>Learn how to pull and test Cohere&amp;rsquo;s container images using a license with Docker and Kubernetes.</description></item><item><title>Deploying Your Agent</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/_overview/</guid><description/></item><item><title>Deployments</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/ondemand-deployments/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/ondemand-deployments/</guid><description>Configure and manage on-demand deployments on dedicated GPUs</description></item><item><title>Deprecations</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/deprecations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/deprecations/</guid><description/></item><item><title>Design Principles</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/design-principles/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/design-principles/</guid><description>The core design principles that guide the development of the Model Context Protocol.</description></item><item><title>Develop Tests</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/develop-tests/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/develop-tests/</guid><description/></item><item><title>Development containers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/devcontainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/devcontainer/</guid><description>Learn about the Claude Code development container for teams that need consistent, secure environments.</description></item><item><title>Development Setup with Fireworks Docs MCP</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/development-setup/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/development-setup/</guid><description>Configure the Fireworks AI Docs MCP server for Claude Code and Cursor</description></item><item><title>Differences between Lexical and Semantic Search regarding relevancy</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/differences-between-lexical-semantic-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/differences-between-lexical-semantic-search/</guid><description/></item><item><title>Different Types of API Keys and Rate Limits</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/rate-limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/rate-limits/</guid><description>This page describes Cohere API rate limits for production and evaluation keys.</description></item><item><title>Direct Model Requests</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/direct/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/direct/_overview/</guid><description/></item><item><title>Directory RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directorysearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directorysearchtool/</guid><description>The &amp;lsquo;DirectorySearchTool&amp;rsquo; is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a directory&amp;rsquo;s content.</description></item><item><title>Directory Read</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directoryreadtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directoryreadtool/</guid><description>The &amp;lsquo;DirectoryReadTool&amp;rsquo; is a powerful utility designed to provide a comprehensive listing of directory contents.</description></item><item><title>Disable automatic updates for W&amp;B Server</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/disable-automatic-app-version-updates/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/disable-automatic-app-version-updates/</guid><description>Learn how to disable automatic updates for W&amp;amp;B Server.</description></item><item><title>Disable tracing</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-disable/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-disable/</guid><description>Learn options to disable or conditionally turn off W&amp;amp;B Weave tracing</description></item><item><title>Discover and install prebuilt plugins through marketplaces</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/discover-plugins/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/discover-plugins/</guid><description>Find and install plugins from marketplaces to extend Claude Code with new commands, agents, and capabilities.</description></item><item><title>Discover errors and usage patterns with the Insights Agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/insights/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/insights/</guid><description/></item><item><title>Distillation Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/distillation_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/distillation_trainer/</guid><description/></item><item><title>Distributed tracing with Agent Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-distributed-tracing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-distributed-tracing/</guid><description>Unify traces when calling your deployed Agent Server from another service using RemoteGraph or the SDK.</description></item><item><title>Distributing Training</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/distributing_training/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/distributing_training/</guid><description/></item><item><title>Docker</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/docker/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/docker/</guid><description>Run Chroma in a Docker Container</description></item><item><title>Document API authentication in OpenAPI</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/openapi-security/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/openapi-security/</guid><description/></item><item><title>Document Library</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/document_library/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/document_library/</guid><description>Document Library enhances agents with uploaded documents via Mistral Cloud&amp;rsquo;s built-in RAG tool</description></item><item><title>Document QnA</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/document_qna/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/document_qna/</guid><description>Document QnA combines OCR and AI to enable natural language queries on document content for insights and extraction</description></item><item><title>Document Translation with Command A Translate</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/command-a-translate/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/command-a-translate/</guid><description>This page describes how to use Command A Translate for automated translation across 23 languages with industry-leading performance.</description></item><item><title>DOCX RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/docxsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/docxsearchtool/</guid><description>The &amp;lsquo;DOCXSearchTool&amp;rsquo; is a RAG tool designed for semantic searching within DOCX documents.</description></item><item><title>Double texting</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/double-texting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/double-texting/</guid><description/></item><item><title>Downgrade your plan</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/downgrade-billing-plan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/downgrade-billing-plan/</guid><description>Downgrade from a paid plan to the free Starter plan.</description></item><item><title>Downgrade your plan</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/downgrade-billing-plan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/downgrade-billing-plan/</guid><description>Downgrade from a paid plan to the free Starter plan.</description></item><item><title>Download a usage report</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/download-usage-report/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/download-usage-report/</guid><description>Export organization usage and cost reports.</description></item><item><title>Download a usage report</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/download-usage-report/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/download-usage-report/</guid><description>Download detailed usage and cost reports.</description></item><item><title>Download an artifact from a registry</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/registry/download_use_artifact/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/registry/download_use_artifact/</guid><description/></item><item><title>Download and use artifacts</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/download-and-use-an-artifact/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/download-and-use-an-artifact/</guid><description>Download and use Artifacts from multiple projects.</description></item><item><title>DPO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/dpo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/dpo_trainer/</guid><description/></item><item><title>DSPy</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/dspy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/dspy/</guid><description>Using DSPy with Together AI</description></item><item><title>DSPy</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/dspy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/dspy/</guid><description>Use Weave to automatically track and log calls made using DSPy modules and functions</description></item><item><title>DSPy Assertions</title><link>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/7-assertions/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/7-assertions/_overview/</guid><description/></item><item><title>DSPy Optimizer</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/optimizers/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/optimizers/_overview/</guid><description/></item><item><title>Durable execution</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/durable-execution/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/durable-execution/</guid><description/></item><item><title>Durable execution</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/durable-execution/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/durable-execution/</guid><description/></item><item><title>Dynamic workflows</title><link>https://learn-ai.blindshot.kz/docs/google/adk/workflows/dynamic/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/workflows/dynamic/_overview/</guid><description/></item><item><title>Edit a report</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/reports/edit-a-report/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/reports/edit-a-report/</guid><description>Edit a report interactively with the App UI or programmatically with the W&amp;amp;B SDK.</description></item><item><title>Effective Chunking Strategies for RAG</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/chunking-strategies/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/chunking-strategies/</guid><description>This page describes various chunking strategies you can use to get better RAG performance.</description></item><item><title>Effort</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/effort/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/effort/</guid><description/></item><item><title>Egress for billing and operational telemetry</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-egress/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-egress/</guid><description/></item><item><title>Elasticsearch and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/elasticsearch-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/elasticsearch-and-cohere/</guid><description>Learn how to create a semantic search pipeline with Elasticsearch and Cohere&amp;rsquo;s generative AI capabilities.</description></item><item><title>Embed a report</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/reports/embed-reports/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/reports/embed-reports/</guid><description>Embed W&amp;amp;B reports directly into Notion or with an HTML IFrame element.</description></item><item><title>Embed objects</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/query-panels/embedding-projector/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/query-panels/embedding-projector/</guid><description>W&amp;amp;B&amp;rsquo;s Embedding Projector allows users to plot multi-dimensional embeddings on a 2D plane using common dimension reduction algorithms like PCA, UMAP, and t-SNE.</description></item><item><title>Embedding Functions</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/embeddings/embedding-functions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/embeddings/embedding-functions/</guid><description>Learn how to use embedding functions in Chroma to create vector representations of your data.</description></item><item><title>Embedding values changed when upserted</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/embedding-values-changed-when-upserted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/embedding-values-changed-when-upserted/</guid><description/></item><item><title>Embeddings</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/embeddings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/embeddings/</guid><description/></item><item><title>Embeddings</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/embeddings/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/embeddings/_overview/</guid><description/></item><item><title>Embeddings &amp; Reranking</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/querying-embeddings-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/querying-embeddings-models/</guid><description>Generate embeddings and rerank results for semantic search</description></item><item><title>Enable blob storage</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-blob-storage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-blob-storage/</guid><description/></item><item><title>Enable Crew Studio</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/enable-crew-studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/enable-crew-studio/</guid><description>Enabling Crew Studio on CrewAI AMP</description></item><item><title>Enable Insights</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/insights-self-hosted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/insights-self-hosted/</guid><description/></item><item><title>Enable JSON mode</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/json-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/json-mode/</guid><description>How to use JSON mode with W&amp;amp;B Inference</description></item><item><title>Enable LangSmith Deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-self-hosted-full-platform/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-self-hosted-full-platform/</guid><description/></item><item><title>Enable Polly</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/polly-self-hosted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/polly-self-hosted/</guid><description/></item><item><title>Enable streaming responses</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/streaming/</guid><description>How to use streaming output with W&amp;amp;B Inference</description></item><item><title>Enable structured output</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/structured-output/</guid><description>How to configure structured output in W&amp;amp;B Inference responses</description></item><item><title>Enable TTL and data retention</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-ttl/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-ttl/</guid><description/></item><item><title>Enqueue concurrent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/enqueue-concurrent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/enqueue-concurrent/</guid><description/></item><item><title>Enterprise</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/enterprise/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/enterprise/</guid><description>&lt;p&gt;The enterprise skills guide addresses deployment concerns that only surface at organizational scale: access control, audit logging, skill versioning, and multi-tenant isolation. Focus on the permission model and how skill execution contexts are sandboxed — getting this wrong can expose one tenant&amp;rsquo;s data to another. A key pitfall is treating enterprise skill deployment as a simple extension of single-user patterns; the authentication and authorization layers add meaningful complexity to the skill lifecycle. Read this after the quickstart and best practices guides, as it assumes familiarity with core skill mechanics.&lt;/p&gt;</description></item><item><title>Enterprise network configuration</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/network-config/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/network-config/</guid><description>Configure Claude Code for enterprise environments with proxy servers, custom Certificate Authorities (CA), and mutual Transport Layer Security (mTLS) authentication.</description></item><item><title>enterprise-api.base</title><link>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.base/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.base/</guid><description/></item><item><title>enterprise-api.en</title><link>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api/</guid><description/></item><item><title>enterprise-api.ko</title><link>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.ko/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.ko/</guid><description/></item><item><title>enterprise-api.pt-BR</title><link>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.pt-br/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.pt-br/</guid><description/></item><item><title>Enterprise-Managed Authorization</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/auth/enterprise-managed-authorization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/auth/enterprise-managed-authorization/</guid><description>Centralized access control for MCP in enterprise environments via identity providers</description></item><item><title>Environment variables</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/env-var/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/env-var/</guid><description/></item><item><title>Environment variables</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/environment-variables/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/environment-variables/</guid><description>Set W&amp;amp;B environment variables.</description></item><item><title>Environment Variables</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/environment-variables/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/environment-variables/</guid><description/></item><item><title>Error Codes</title><link>https://learn-ai.blindshot.kz/docs/deepseek/quick_start/error_codes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/quick_start/error_codes/</guid><description/></item><item><title>Error handling</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/error-handling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/error-handling/</guid><description>Handle errors with retry logic and best practices.</description></item><item><title>Error: Cannot import name 'Pinecone' from 'pinecone'</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/error-cannot-import-name-pinecone/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/error-cannot-import-name-pinecone/</guid><description/></item><item><title>Error: Handshake read failed when connecting</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/error-handshake-read-failed/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/error-handshake-read-failed/</guid><description/></item><item><title>Errors</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/errors/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/errors/</guid><description/></item><item><title>Errors</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/common-errors/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/common-errors/</guid><description/></item><item><title>Errors</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/common-errors/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/common-errors/</guid><description/></item><item><title>Essentials</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-essentials/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-essentials/</guid><description>Agent Builder&amp;rsquo;s core features</description></item><item><title>Essentials</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/essentials/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/essentials/</guid><description>Fleet&amp;rsquo;s core features</description></item><item><title>Estuary</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/estuary/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/estuary/</guid><description/></item><item><title>Eval Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/eval-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/eval-tool/</guid><description/></item><item><title>Evals</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/evals/</guid><description>Evaluate agent trajectories using deterministic matching or LLM-as-judge evaluators with AgentEvals and LangSmith.</description></item><item><title>Evals</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/evals/</guid><description>Evaluate agent trajectories using deterministic matching or LLM-as-judge evaluators with AgentEvals and LangSmith.</description></item><item><title>Evaluate a complex agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-complex-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-complex-agent/</guid><description/></item><item><title>Evaluate a hosted API model</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/launch/evaluate-hosted-model/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/launch/evaluate-hosted-model/</guid><description>Evaluate a hosted API model using infrastructure managed by CoreWeave</description></item><item><title>Evaluate a model checkpoint</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/launch/evaluate-model-checkpoint/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/launch/evaluate-model-checkpoint/</guid><description>Evaluate a VLLM-compatible model checkpoint using infrastructure managed by CoreWeave</description></item><item><title>Evaluate a New LLM</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/benchmark_llm/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/benchmark_llm/_overview/</guid><description/></item><item><title>Evaluate a simple LLM application</title><link>https://learn-ai.blindshot.kz/docs/ragas/getstarted/evals/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/getstarted/evals/_overview/</guid><description>&lt;p&gt;This is the canonical first hands-on with RAGAS, and it matters because it shows the metric-driven evaluation loop on a simple LLM app before you add retrieval complexity. Focus on how RAGAS frames a sample, a metric, and a score — the same abstractions scale up to full RAG evaluation. A subtle gotcha is that many RAGAS metrics call an LLM under the hood, so scores carry cost and run-to-run variance you must account for. Read this before the RAG tutorial, which layers retrieval metrics on top.&lt;/p&gt;</description></item><item><title>Evaluate a simple RAG system</title><link>https://learn-ai.blindshot.kz/docs/ragas/getstarted/rag_eval/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/getstarted/rag_eval/_overview/</guid><description/></item><item><title>Evaluate a Text-to-SQL Agent</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/text2sql/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/text2sql/_overview/</guid><description/></item><item><title>Evaluate and Improve a RAG App</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/evaluate-and-improve-rag/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/evaluate-and-improve-rag/_overview/</guid><description/></item><item><title>Evaluate answers</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/evaluate-answers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/evaluate-answers/</guid><description>Measure assistant response quality with LLM-based evaluation.</description></item><item><title>Evaluate external models</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/external-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/external-models/</guid><description>Learn how to run evals on non-OpenAI models, using the OpenAI platform.</description></item><item><title>Evaluate using local scorers</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/weave_local_scorers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/weave_local_scorers/</guid><description>Small language models that run locally to evaluate AI system safety and quality</description></item><item><title>Evaluating Multi-turn Conversations</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/evaluating_multi_turn_conversations/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/evaluating_multi_turn_conversations/_overview/</guid><description/></item><item><title>Evaluating Text Summarization Models</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/summarization-evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/summarization-evals/</guid><description>This page discusses how to evaluate a model&amp;rsquo;s text summarization.</description></item><item><title>Evaluation Arena Test Cases</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-arena-test-cases/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-arena-test-cases/</guid><description/></item><item><title>Evaluation benchmark catalog</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/launch/evaluations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/launch/evaluations/</guid><description>Browse the evaluation benchmarks available through LLM Evaluation Jobs</description></item><item><title>Evaluation best practices</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/evaluation-best-practices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/evaluation-best-practices/</guid><description>Advanced evaluation patterns for production AI systems — handling ambiguous cases, scaling eval suites, avoiding eval gaming, and integrating evals into CI/CD pipelines.</description></item><item><title>Evaluation Component Level Llm Evals</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-component-level-llm-evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-component-level-llm-evals/</guid><description/></item><item><title>Evaluation Datasets</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-datasets/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-datasets/</guid><description/></item><item><title>Evaluation End To End Llm Evals</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-end-to-end-llm-evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-end-to-end-llm-evals/</guid><description/></item><item><title>Evaluation End To End Multi Turn</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-end-to-end-multi-turn/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-end-to-end-multi-turn/</guid><description/></item><item><title>Evaluation End To End Single Turn</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-end-to-end-single-turn/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-end-to-end-single-turn/</guid><description/></item><item><title>Evaluation Flags And Configs</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-flags-and-configs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-flags-and-configs/</guid><description/></item><item><title>Evaluation Llm Tracing</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-llm-tracing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-llm-tracing/</guid><description/></item><item><title>Evaluation Mcp</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-mcp/</guid><description/></item><item><title>Evaluation Multiturn Test Cases</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-multiturn-test-cases/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-multiturn-test-cases/</guid><description/></item><item><title>Evaluation Prompts</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-prompts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-prompts/</guid><description/></item><item><title>Evaluation Test Cases</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-test-cases/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-test-cases/</guid><description/></item><item><title>Evaluation types</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluation-types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluation-types/</guid><description/></item><item><title>Evaluation Unit Testing In Ci Cd</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-unit-testing-in-ci-cd/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/evaluation-unit-testing-in-ci-cd/</guid><description/></item><item><title>Evaluations with Vertex AI models</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/vertexai_x_ragas/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/vertexai_x_ragas/_overview/</guid><description/></item><item><title>Evaluators</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/evaluators/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/evaluators/</guid><description>Understand the fundamentals of evaluators and reward functions in reinforcement fine-tuning</description></item><item><title>Event Loop</title><link>https://learn-ai.blindshot.kz/docs/google/adk/runtime/event-loop/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/runtime/event-loop/_overview/</guid><description/></item><item><title>Events</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/events/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/events/</guid><description>Documentation for the events used in the Agent User Interaction Protocol SDK</description></item><item><title>Events</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/events/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/events/</guid><description>Documentation for the events used in the Agent User Interaction Protocol Python SDK</description></item><item><title>Events</title><link>https://learn-ai.blindshot.kz/docs/google/adk/events/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/events/_overview/</guid><description/></item><item><title>Experiment configuration</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/experiment-configuration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/experiment-configuration/</guid><description/></item><item><title>Experiments limits and performance</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/limits/</guid><description>Keep your pages in W&amp;amp;B faster and more responsive by logging within these suggested bounds.</description></item><item><title>Explore artifact lineage graphs</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/explore-and-traverse-an-artifact-graph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/explore-and-traverse-an-artifact-graph/</guid><description>Traverse direct acyclic W&amp;amp;B Artifact graphs.</description></item><item><title>Explore the .claude directory</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/claude-directory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/claude-directory/</guid><description>Where Claude Code reads CLAUDE.md, settings.json, hooks, skills, commands, subagents, rules, and auto memory. Explore the .claude directory in your project and ~/.claude in your home directory.</description></item><item><title>Explore the context window</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/context-window/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/context-window/</guid><description>An interactive simulation of how Claude Code&amp;rsquo;s context window fills during a session. See what loads automatically, what each file read costs, and when rules and hooks fire.</description></item><item><title>Export data from Dedicated Cloud</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/export-data-from-dedicated-cloud/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/export-data-from-dedicated-cloud/</guid><description>Export data from Dedicated Cloud</description></item><item><title>Export data from Dedicated Cloud</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/dedicated-cloud/export-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/dedicated-cloud/export-data/</guid><description>Export runs, metrics, artifacts, and reports from a W&amp;amp;B Dedicated Cloud instance using the Python SDK API.</description></item><item><title>Export evaluation data</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/export_eval/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/export_eval/</guid><description>Programmatically export evaluation results using the Evaluation REST API.</description></item><item><title>Export indexes</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/export-indexes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/export-indexes/</guid><description/></item><item><title>Export LangSmith telemetry to your observability backend</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/export-backend/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/export-backend/</guid><description/></item><item><title>Export table data</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/tables/tables-download/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/tables/tables-download/</guid><description>How to export data from tables.</description></item><item><title>Exporting Metrics</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/exporting-metrics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/exporting-metrics/</guid><description>Export metrics from your dedicated deployments to your observability stack</description></item><item><title>Extend Claude with skills</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/skills/</guid><description>Create, manage, and share skills to extend Claude&amp;rsquo;s capabilities in Claude Code. Includes custom slash commands.</description></item><item><title>Extensibility</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/extensibility/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/extensibility/_overview/</guid><description/></item><item><title>Extension Support Matrix</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/client-matrix/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/client-matrix/</guid><description>Which MCP clients implement which official extensions</description></item><item><title>Faq</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/faq/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/faq/</guid><description/></item><item><title>Faq</title><link>https://learn-ai.blindshot.kz/docs/deepseek/faq/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/faq/</guid><description/></item><item><title>FAQ</title><link>https://learn-ai.blindshot.kz/docs/dspy/faqs/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/faqs/_overview/</guid><description>Common questions on DSPy usage, comparisons, optimization, and debugging</description></item><item><title>Fast Mode</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/fast-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/fast-mode/</guid><description/></item><item><title>FastMCP Client</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/mcp/fastmcp-client/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/mcp/fastmcp-client/_overview/</guid><description/></item><item><title>Feature availability</title><link>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/feature-availability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/assistant-release-notes/feature-availability/</guid><description/></item><item><title>Feedback data format</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/feedback-data-format/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/feedback-data-format/</guid><description/></item><item><title>Fetch records</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/fetch-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/fetch-data/</guid><description>Retrieve complete records by ID or metadata filter.</description></item><item><title>File Checkpointing</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/file-checkpointing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/file-checkpointing/</guid><description/></item><item><title>File inputs</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/file-inputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/file-inputs/</guid><description>Learn how to use files as file inputs in the OpenAI API.</description></item><item><title>File Read</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filereadtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filereadtool/</guid><description>The &amp;lsquo;FileReadTool&amp;rsquo; is designed to read files from the local file system.</description></item><item><title>File search</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-file-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-file-search/</guid><description>Built-in file search tool that lets models search uploaded files for relevant information before generating responses, providing managed RAG without external infrastructure.</description></item><item><title>File Write</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filewritetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filewritetool/</guid><description>The &amp;lsquo;FileWriterTool&amp;rsquo; is designed to write content to files.</description></item><item><title>Files</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/files/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/files/</guid><description/></item><item><title>Filter by metadata</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/filter-by-metadata/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/filter-by-metadata/</guid><description>Narrow search results with metadata filtering.</description></item><item><title>Filter runs</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/filter-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/filter-runs/</guid><description>Learn how to filter runs in the Runs table using the expression editor.</description></item><item><title>Filter traces</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/filter-traces-in-application/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/filter-traces-in-application/</guid><description/></item><item><title>Fim Completion</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/fim_completion/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/fim_completion/</guid><description/></item><item><title>Financial CSV Agent with Langchain</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/csv-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/csv-agent/</guid><description>This page describes how to use Cohere&amp;rsquo;s models to build an agent able to work with CSV data.</description></item><item><title>Financial CSV Agent with Native Multi-Step Cohere API</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/csv-agent-native-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/csv-agent-native-api/</guid><description>This page describes how to use Cohere&amp;rsquo;s models and its native API to build an agent able to work with CSV data.</description></item><item><title>Find and customize a run's ID or name</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/run-identifiers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/run-identifiers/</guid><description>Learn how to find a run&amp;rsquo;s unique identifier and run name, how to create a custom run ID, and how to customize a run&amp;rsquo;s name.</description></item><item><title>Find registry items</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/registry/search_registry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/registry/search_registry/</guid><description>Learn how to search for registries, collections, and artifact versions in the W&amp;amp;B Registry using the global search bar or queries.</description></item><item><title>Fine Grained Tool Streaming</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/fine-grained-tool-streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/fine-grained-tool-streaming/</guid><description>&lt;p&gt;Fine-grained tool streaming gives you granular control over how tool call arguments and results are delivered incrementally, which is essential for building responsive UIs on top of agentic workflows. Focus on the event types and their ordering — understanding the difference between input_json delta events and tool_result blocks determines how you parse partial tool invocations. One subtle pitfall is assuming tool arguments arrive as valid JSON at each delta; you need to buffer and parse only after the tool use block is complete. Read this after the general streaming guide to layer tool-specific streaming behavior on top of basic SSE handling.&lt;/p&gt;</description></item><item><title>Fine Tuning FAQs</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-faqs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-faqs/</guid><description/></item><item><title>Fine-tuning</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/finetuning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/finetuning/</guid><description>Fine-tuning models incurs a $2 monthly storage fee per model; see pricing for details</description></item><item><title>Fine-tuning best practices</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/fine-tuning-best-practices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/fine-tuning-best-practices/</guid><description>Practical tips for getting fine-tuning right — dataset quality vs quantity, avoiding overfitting, hyperparameter selection, and debugging poor results.</description></item><item><title>Fine-tuning BYOM</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-byom/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-byom/</guid><description>Bring Your Own Model: Fine-tune Custom Models from the Hugging Face Hub</description></item><item><title>Finetuning Cohere Models on AWS Sagemaker</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/finetune-on-sagemaker/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/finetune-on-sagemaker/</guid><description>Learn how to finetune one of Cohere&amp;rsquo;s models on AWS Sagemaker.</description></item><item><title>Fingerprinting</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/advanced/fingerprinting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/advanced/fingerprinting/</guid><description>Learn how to use CrewAI&amp;rsquo;s fingerprinting system to uniquely identify and track components throughout their lifecycle.</description></item><item><title>Fire Pass Setup</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/firepass/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/firepass/</guid><description>Kimi K2.6 Turbo for personal agentic coding — Fire Pass (Early Access), $49 / month</description></item><item><title>Firecrawl Crawl Website</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlcrawlwebsitetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlcrawlwebsitetool/</guid><description>The &amp;lsquo;FirecrawlCrawlWebsiteTool&amp;rsquo; is designed to crawl and convert websites into clean markdown or structured data.</description></item><item><title>Firecrawl Scrape Website</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlscrapewebsitetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlscrapewebsitetool/</guid><description>The &amp;lsquo;FirecrawlScrapeWebsiteTool&amp;rsquo; is designed to scrape websites and convert them into clean markdown or structured data.</description></item><item><title>Fireworks</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/fireworks/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/fireworks/_overview/</guid><description/></item><item><title>Fireworks Agent: Classification</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/classification/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/classification/</guid><description>Benchmark base models, fine-tune on labeled data, and pick the best classifier — automatically.</description></item><item><title>Fireworks Agent: Evaluator Authoring</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/evaluators/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/evaluators/</guid><description>Have Fireworks Agent generate a reusable evaluator from your dataset — for scoring candidates in an SFT sweep, or for use with Managed RFT.</description></item><item><title>Fleak</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/fleak/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/fleak/</guid><description/></item><item><title>Fleet webhooks</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/webhooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/webhooks/</guid><description>Integrate agent publishing with external systems, CI/CD pipelines, or custom deployment workflows.</description></item><item><title>Flex processing</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/flex-processing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/flex-processing/</guid><description>Learn how to optimize costs for asynchronous tasks with flex processing.</description></item><item><title>Flow HITL Management</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/flow-hitl-management/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/flow-hitl-management/</guid><description>Enterprise-grade human review for Flows with email-first notifications, routing rules, and auto-response capabilities</description></item><item><title>FlowiseAI</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/flowise/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/flowise/</guid><description/></item><item><title>Force Tool Output as Result</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/force-tool-output-as-result/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/force-tool-output-as-result/</guid><description>Learn how to force tool output as the result in an Agent&amp;rsquo;s task in CrewAI.</description></item><item><title>Frequently asked questions</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/faq/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/faq/</guid><description/></item><item><title>Frequently Asked Questions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/faq/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/faq/</guid><description>&lt;p&gt;This FAQ addresses the practical edge cases that the other registry guides do not cover in depth, including questions about naming conflicts, transfer of ownership, and delisting policies. Read this after you have gone through the main registry overview and authentication guides, since many answers assume familiarity with those workflows. The sections on troubleshooting publishing failures are particularly valuable if you encounter cryptic errors during your first submission attempt.&lt;/p&gt;</description></item><item><title>Frequently Asked Questions</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/pricing-faq/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/pricing-faq/</guid><description/></item><item><title>Frontend</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/streaming/frontend/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/streaming/frontend/</guid><description>Build React UIs that display real-time subagent streams from deep agents</description></item><item><title>Frontend</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/streaming/frontend/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/streaming/frontend/</guid><description>Build generative UIs with real-time streaming from LangChain agents, LangGraph graphs, and custom APIs</description></item><item><title>Frontend</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/streaming/frontend/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/streaming/frontend/</guid><description>Build React UIs that display real-time subagent streams from deep agents</description></item><item><title>Frontend</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/streaming/frontend/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/streaming/frontend/</guid><description>Build generative UIs with real-time streaming from LangChain agents, LangGraph graphs, and custom APIs</description></item><item><title>Fueling Generative Content with Keyword Research</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/fueling-generative-content/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/fueling-generative-content/</guid><description>This page contains a basic workflow for using Cohere&amp;rsquo;s models to come up with keyword content ideas.</description></item><item><title>Full Text Search</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/querying-collections/full-text-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/querying-collections/full-text-search/</guid><description>Learn how to use full-text search and regex filtering in Chroma collections.</description></item><item><title>Full-text search</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/full-text-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/full-text-search/</guid><description>Keyword-based search over text documents using BM25, phrase matching, and Lucene query syntax.</description></item><item><title>Fullscreen rendering</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/fullscreen/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/fullscreen/</guid><description>Enable a smoother, flicker-free rendering mode with mouse support and stable memory usage in long conversations.</description></item><item><title>Fully Sharded Data Parallel</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/accelerate/fsdp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/accelerate/fsdp/</guid><description/></item><item><title>Function calling</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/function-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/function-calling/</guid><description>Function calling with Mistral models — integrate external tools for dynamic, data-driven responses using JSON Schema tool definitions.</description></item><item><title>Function calling</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/function-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/function-calling/</guid><description>Learn how function calling enables large language models to connect to external data and systems.</description></item><item><title>Function Calling</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/function-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/function-calling/</guid><description>Learn how to get LLMs to respond to queries with named functions and structured arguments.</description></item><item><title>Function Calling Fine-tuning</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-function-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-function-calling/</guid><description>Learn how to fine-tune models with function calling capabilities using Together AI.</description></item><item><title>Function Tools</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/tools/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/tools/_overview/</guid><description/></item><item><title>Galileo</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/galileo/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/galileo/</guid><description>Galileo integration for CrewAI tracing and evaluation</description></item><item><title>Gathr</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/gathr/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/gathr/</guid><description/></item><item><title>GCP</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/gcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/gcp/</guid><description>Deploy Chroma on Google Cloud Platform using Terraform.</description></item><item><title>Gemini</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/google-gemini/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/google-gemini/_overview/</guid><description/></item><item><title>Gemini</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/google/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/google/_overview/</guid><description/></item><item><title>Gemini CLI Extension</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/gemini-cli/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/gemini-cli/</guid><description>Install the official Pinecone extension for Gemini CLI to get skills and MCP tools for managing indexes and building AI applications.</description></item><item><title>Gemma</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/google-gemma/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/google-gemma/_overview/</guid><description/></item><item><title>General</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/performance/general/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/performance/general/</guid><description>How to improve Chroma performance across single-node and distributed deployments.</description></item><item><title>General Online Logit Distillation (GOLD) Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/gold_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/gold_trainer/</guid><description/></item><item><title>Generalized Knowledge Distillation Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/gkd_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/gkd_trainer/</guid><description/></item><item><title>Generate ClickHouse stats</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-generate-clickhouse-stats/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-generate-clickhouse-stats/</guid><description/></item><item><title>Generate Parallel Queries for Better RAG Retrieval</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/generating-parallel-queries/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/generating-parallel-queries/</guid><description>Build an agentic RAG system that can expand a user query into a more optimized set of queries for retrieval.</description></item><item><title>Generate query stats</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-generate-query-stats/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-generate-query-stats/</guid><description/></item><item><title>Generating Multi-Faceted Queries</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/generating-multi-faceted-queries/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/generating-multi-faceted-queries/</guid><description>Build a system that generates multi-faceted queries to capture the full intent of a user&amp;rsquo;s request.</description></item><item><title>Generative UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/generative-ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/generative-ui/</guid><description>Render AI-generated user interfaces using json-render</description></item><item><title>Generative UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/generative-ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/generative-ui/</guid><description>Render AI-generated user interfaces using json-render</description></item><item><title>Generative User Interfaces</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/generative-ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/generative-ui/</guid><description>AI-generated interfaces without custom tool renderers</description></item><item><title>Genkit</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/genkit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/genkit/</guid><description/></item><item><title>Get a handle to the Call object during execution</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/get-call-object/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/get-call-object/</guid><description>Access the W&amp;amp;B Weave Call object at runtime for feedback, display names, and other metadata</description></item><item><title>Get Assistant</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant/</guid><description>Get an assistant by ID.</description></item><item><title>Get Assistant Graph</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-graph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-graph/</guid><description>Get an assistant by ID.</description></item><item><title>Get Assistant Schemas</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-schemas/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-schemas/</guid><description>Get an assistant by ID.</description></item><item><title>Get Assistant Subgraphs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-subgraphs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-subgraphs/</guid><description>Get an assistant&amp;rsquo;s subgraphs.</description></item><item><title>Get Assistant Subgraphs by Namespace</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-subgraphs-by-namespace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-subgraphs-by-namespace/</guid><description>Get an assistant&amp;rsquo;s subgraphs filtered by namespace.</description></item><item><title>Get Assistant Versions</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-versions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-versions/</guid><description>Get all versions of an assistant.</description></item><item><title>get data from hugging face</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/finetuning_sections/_04_faq/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/finetuning_sections/_04_faq/</guid><description>FAQ on data validation, size limits, job creation, and fine-tuning details for Mistral API and mistral-finetune</description></item><item><title>Get help</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/get-help/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/get-help/</guid><description/></item><item><title>Get help</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/get-help/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/get-help/</guid><description/></item><item><title>Get Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/get-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/get-run/</guid><description>Get a run by ID.</description></item><item><title>Get Thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread/</guid><description>Get a thread by ID.</description></item><item><title>Get Thread History</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-history/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-history/</guid><description>Get all past states for a thread.</description></item><item><title>Get Thread History Post</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-history-post/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-history-post/</guid><description>Get all past states for a thread.</description></item><item><title>Get Thread State</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-state/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-state/</guid><description>Get state for a thread.</description></item><item><title>Get User Balance</title><link>https://learn-ai.blindshot.kz/docs/deepseek/api/get-user-balance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/api/get-user-balance/</guid><description/></item><item><title>Getting Help</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/help/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/help/_overview/</guid><description/></item><item><title>Getting Started</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/graph/beta/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/graph/beta/_overview/</guid><description/></item><item><title>Getting Started with Basic Tool Use</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/basic-tool-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/basic-tool-use/</guid><description>This page describes how to work with Cohere&amp;rsquo;s basic tool use functionality.</description></item><item><title>Getting Started with Logprobs</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/logprobs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/logprobs/</guid><description>Learn how to return log probabilities for your output tokens &amp;amp; build better classifiers.</description></item><item><title>GFPO</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/gfpo/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/gfpo/</guid><description/></item><item><title>GitHub</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/sync/github/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/sync/github/</guid><description>Sync GitHub repositories into Chroma Cloud.</description></item><item><title>GitHub Copilot</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/github-copilot/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/github-copilot/</guid><description>Use Fireworks AI models in GitHub Copilot Chat via a custom endpoint</description></item><item><title>GitHub Copilot</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/github-copilot/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/github-copilot/</guid><description/></item><item><title>GitHub Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/github/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/github/</guid><description>Repository and issue management with GitHub integration for CrewAI.</description></item><item><title>Github Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/githubsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/githubsearchtool/</guid><description>The &amp;lsquo;GithubSearchTool&amp;rsquo; is designed to search websites and convert them into clean markdown or structured data.</description></item><item><title>GKE</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/gke/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/gke/_overview/</guid><description/></item><item><title>Glossary</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/glossary/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/glossary/</guid><description/></item><item><title>Gmail Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/gmail/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/gmail/</guid><description>Email and contact management with Gmail integration for CrewAI.</description></item><item><title>Gmail Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/gmail-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/gmail-trigger/</guid><description>Trigger automations when Gmail events occur (e.g., new emails, labels).</description></item><item><title>Going Live with a Cohere Model</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/going-live/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/going-live/</guid><description>Learn to upgrade from a Trial to a Production key; understand the limitations and benefits of each and go live with Cohere.</description></item><item><title>Going to production</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/going-to-production/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/going-to-production/</guid><description>Take your Deep Agent to production with persistent memory, sandboxes, resilience middleware, and deployment options</description></item><item><title>Going to production</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/going-to-production/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/going-to-production/</guid><description>Take your Deep Agent to production with persistent memory, sandboxes, resilience middleware, and deployment options</description></item><item><title>Golden Synthesizer</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/golden-synthesizer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/golden-synthesizer/</guid><description/></item><item><title>Google</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/google/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/google/_overview/</guid><description/></item><item><title>Google</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/google/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/google/</guid><description>Use Weave to trace and log Google GenAI model calls</description></item><item><title>Google ADK</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/google-adk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/google-adk/</guid><description/></item><item><title>Google Agent Development Kit (ADK)</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/google_adk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/google_adk/</guid><description>Trace Google Agent Development Kit (ADK) agent and tool calls in Weave using OpenTelemetry</description></item><item><title>Google Calendar Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_calendar/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_calendar/</guid><description>Event and schedule management with Google Calendar integration for CrewAI.</description></item><item><title>Google Calendar Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/google-calendar-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/google-calendar-trigger/</guid><description>Kick off crews when Google Calendar events are created, updated, or cancelled</description></item><item><title>Google Cloud Marketplace</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/google-cloud-marketplace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/google-cloud-marketplace/</guid><description/></item><item><title>Google Contacts Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_contacts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_contacts/</guid><description>Contact and directory management with Google Contacts integration for CrewAI.</description></item><item><title>Google Docs Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_docs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_docs/</guid><description>Document creation and editing with Google Docs integration for CrewAI.</description></item><item><title>Google Drive Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_drive/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_drive/</guid><description>File storage and management with Google Drive integration for CrewAI.</description></item><item><title>Google Drive Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/google-drive-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/google-drive-trigger/</guid><description>Respond to Google Drive file events with automated crews</description></item><item><title>Google Gemini</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/google-gemini/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/google-gemini/</guid><description/></item><item><title>Google Gemini</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/gemini/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/gemini/_overview/</guid><description/></item><item><title>Google GenAI</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/genai/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/genai/_overview/</guid><description/></item><item><title>Google Search Grounding</title><link>https://learn-ai.blindshot.kz/docs/google/adk/grounding/google_search_grounding/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/grounding/google_search_grounding/_overview/</guid><description/></item><item><title>Google Serper Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serperdevtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serperdevtool/</guid><description>The &amp;lsquo;SerperDevTool&amp;rsquo; is designed to search the internet and return the most relevant results.</description></item><item><title>Google Sheets Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_sheets/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_sheets/</guid><description>Spreadsheet data synchronization with Google Sheets integration for CrewAI.</description></item><item><title>Google Slides Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_slides/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_slides/</guid><description>Presentation creation and management with Google Slides integration for CrewAI.</description></item><item><title>Governance and Stewardship</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/governance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/governance/</guid><description>Learn about the Model Context Protocol&amp;rsquo;s governance structure and how to participate in the community</description></item><item><title>GPT Actions library</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/actions/actions-library/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/actions/actions-library/</guid><description>Learn how to build and integrate GPT Actions for common applications using OpenAI&amp;rsquo;s guidance.</description></item><item><title>GPT Release Notes</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/gpts/release-notes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/gpts/release-notes/</guid><description>Keep track of updates to OpenAI GPTs and explore new features and capabilities in the release notes.</description></item><item><title>Granular billable usage</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/granular-usage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/granular-usage/</guid><description>Retrieve detailed trace usage data broken down by workspace, project, user, or API key.</description></item><item><title>Graph execution</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/frontend/graph-execution/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/frontend/graph-execution/</guid><description>Visualize multi-step graph pipelines with per-node status and streaming content</description></item><item><title>Graph execution</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/frontend/graph-execution/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/frontend/graph-execution/</guid><description>Visualize multi-step graph pipelines with per-node status and streaming content</description></item><item><title>Graph routes</title><link>https://learn-ai.blindshot.kz/docs/google/adk/workflows/graph-routes/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/workflows/graph-routes/_overview/</guid><description/></item><item><title>Graph-based agent workflows</title><link>https://learn-ai.blindshot.kz/docs/google/adk/workflows/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/workflows/_overview/</guid><description/></item><item><title>Griptape</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/griptape/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/griptape/_overview/</guid><description/></item><item><title>Groq</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/groq/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/groq/_overview/</guid><description/></item><item><title>Groq</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/groq/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/groq/_overview/</guid><description/></item><item><title>Grounding agents with data</title><link>https://learn-ai.blindshot.kz/docs/google/adk/grounding/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/grounding/_overview/</guid><description/></item><item><title>Group By &amp; Aggregation</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/group-by/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/group-by/</guid><description>Learn how to group search results by metadata keys and select the top results from each group. GroupBy is useful for diversifying results, deduplication, and category-aware ranking.</description></item><item><title>Group Charter Template</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/charter-template/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/charter-template/</guid><description>Template for MCP Working Group and Interest Group charters.</description></item><item><title>GRPO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/grpo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/grpo_trainer/</guid><description/></item><item><title>GRPO With Replay Buffer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/grpo_with_replay_buffer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/grpo_with_replay_buffer/</guid><description/></item><item><title>GSPO-token</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/gspo_token/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/gspo_token/</guid><description/></item><item><title>Guardrails</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/guardrails/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/guardrails/</guid><description>Implement safety checks and content filtering for your agents</description></item><item><title>Guardrails</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/guardrails/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/guardrails/</guid><description>Implement safety checks and content filtering for your agents</description></item><item><title>Guardrails</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/guardrails/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/guardrails/</guid><description>Define validators that run alongside the agent loop to enforce business and safety rules.</description></item><item><title>Guardrails and human review</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/guardrails-approvals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/guardrails-approvals/</guid><description>Learn how to use guardrails and human review in the OpenAI Agents SDK for safer, more controlled workflows.</description></item><item><title>Guides Ai Agent Evaluation</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-ai-agent-evaluation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-ai-agent-evaluation/</guid><description/></item><item><title>Guides Ai Agent Evaluation Metrics</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-ai-agent-evaluation-metrics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-ai-agent-evaluation-metrics/</guid><description/></item><item><title>Guides Answer Correctness Metric</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-answer-correctness-metric/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-answer-correctness-metric/</guid><description/></item><item><title>Guides Building Custom Metrics</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-building-custom-metrics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-building-custom-metrics/</guid><description/></item><item><title>Guides Llm As A Judge</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-llm-as-a-judge/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-llm-as-a-judge/</guid><description/></item><item><title>Guides Llm Observability</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-llm-observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-llm-observability/</guid><description/></item><item><title>Guides Multi Turn Evaluation</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-multi-turn-evaluation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-multi-turn-evaluation/</guid><description/></item><item><title>Guides Multi Turn Evaluation Metrics</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-multi-turn-evaluation-metrics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-multi-turn-evaluation-metrics/</guid><description/></item><item><title>Guides Multi Turn Simulation</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-multi-turn-simulation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-multi-turn-simulation/</guid><description/></item><item><title>Guides Optimizing Hyperparameters</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-optimizing-hyperparameters/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-optimizing-hyperparameters/</guid><description/></item><item><title>Guides Rag Evaluation</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-rag-evaluation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-rag-evaluation/</guid><description/></item><item><title>Guides Rag Triad</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-rag-triad/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-rag-triad/</guid><description/></item><item><title>Guides Red Teaming</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-red-teaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-red-teaming/</guid><description/></item><item><title>Guides Regression Testing In Cicd</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-regression-testing-in-cicd/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-regression-testing-in-cicd/</guid><description/></item><item><title>Guides Tracing Ai Agents</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-tracing-ai-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-tracing-ai-agents/</guid><description/></item><item><title>Guides Tracing Multi Turn</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-tracing-multi-turn/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-tracing-multi-turn/</guid><description/></item><item><title>Guides Tracing Rag</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-tracing-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-tracing-rag/</guid><description/></item><item><title>Guides Using Custom Embedding Models</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-using-custom-embedding-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-using-custom-embedding-models/</guid><description/></item><item><title>Guides Using Custom Llms</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-using-custom-llms/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-using-custom-llms/</guid><description/></item><item><title>Guides Using Synthesizer</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-using-synthesizer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-using-synthesizer/</guid><description/></item><item><title>Hallucination Guardrail</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/hallucination-guardrail/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/hallucination-guardrail/</guid><description>Prevent and detect AI hallucinations in your CrewAI tasks</description></item><item><title>Handle Streaming Refusals</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/handle-streaming-refusals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/handle-streaming-refusals/</guid><description>&lt;p&gt;Streaming refusals present a unique UX challenge: tokens have already been sent to the client before the model decides to refuse, so you cannot simply suppress the response. This guide covers detection strategies and graceful recovery patterns for when Claude mid-stream determines a request violates safety guidelines. Pay close attention to the stop reason codes and how they differ from normal completion events — your streaming parser needs to handle refusal signals without crashing or displaying partial unsafe content. Implement these patterns early in development rather than retrofitting them after users encounter jarring truncated responses in production.&lt;/p&gt;</description></item><item><title>Handle Tool Calls</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/handle-tool-calls/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/handle-tool-calls/</guid><description/></item><item><title>Handling Stop Reasons</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/handling-stop-reasons/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/handling-stop-reasons/</guid><description/></item><item><title>Handoffs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/handoffs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/handoffs/</guid><description/></item><item><title>Handoffs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/handoffs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/handoffs/</guid><description>&lt;p&gt;LangChain&amp;rsquo;s handoff mechanism lets you transfer execution between agents in a multi-agent graph, and it is worth comparing directly with OpenAI&amp;rsquo;s Agents SDK handoffs, which use explicit handoff objects rather than graph edges. Focus on how handoffs in LangChain are implemented as special tool calls that the framework intercepts to reroute execution — understanding this internal mechanism helps you debug cases where handoffs silently fail. Read the &amp;ldquo;Thinking in LangGraph&amp;rdquo; doc first, because handoffs only make sense once you understand LangGraph&amp;rsquo;s state machine model. Be mindful that handoff state serialization can be a source of subtle bugs when agents pass complex objects between each other.&lt;/p&gt;</description></item><item><title>Handoffs</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/handoffs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/handoffs/</guid><description>Delegate tasks between agents with intent classification, argument passing, and return values.</description></item><item><title>Harness capabilities</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/harness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/harness/</guid><description/></item><item><title>Harness capabilities</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/harness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/harness/</guid><description/></item><item><title>Haystack</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/haystack/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/haystack/</guid><description/></item><item><title>Haystack</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/haystack/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/haystack/</guid><description>Using Haystack and Pinecone to keep your NLP-driven apps up-to-date</description></item><item><title>Haystack</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/haystack/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/haystack/_overview/</guid><description/></item><item><title>Haystack and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/haystack-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/haystack-and-cohere/</guid><description>Build custom LLM applications with Haystack, now integrated with Cohere for embedding, generation, chat, and retrieval.</description></item><item><title>Haystack Integration</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_haystack/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_haystack/_overview/</guid><description/></item><item><title>Health Check</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/health-check/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/health-check/</guid><description>Check the health status of the server. Optionally check database connectivity.</description></item><item><title>Health Checks and Node Repair</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/health-checks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/health-checks/</guid><description>Proactively validate GPU node health and trigger repair actions for issues</description></item><item><title>Helicone</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_helicone/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_helicone/_overview/</guid><description/></item><item><title>Hello World! Explore Language AI with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/hello-world-meet-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/hello-world-meet-ai/</guid><description>This page contains a breakdown of some of what can be achieved with Cohere&amp;rsquo;s LLM platform.</description></item><item><title>Help Us Improve The Cohere Docs</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/contribute/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/contribute/</guid><description>Contribute to our docs content, stored in the cohere-developer-experience repo; we welcome your pull requests!</description></item><item><title>Hierarchical Process</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/hierarchical-process/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/hierarchical-process/</guid><description>A comprehensive guide to understanding and applying the hierarchical process within your CrewAI projects, updated to reflect the latest coding practices and functionalities.</description></item><item><title>HITL Workflows</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/human-in-the-loop/</guid><description>Learn how to implement Human-In-The-Loop workflows in CrewAI for enhanced decision-making</description></item><item><title>Hooks</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/hooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/hooks/</guid><description>&lt;p&gt;Hooks function similarly to middleware in web frameworks, giving you interception points at key stages of the agent&amp;rsquo;s lifecycle such as before and after tool calls, at the start and end of turns, and during error handling. This is where you implement cross-cutting concerns like logging, metrics, guardrails, and input/output validation without cluttering your core agent logic. A common pitfall is adding too much latency in hook functions, especially in before-tool hooks, which compounds across multi-step agent runs. Read this after you are comfortable with the basic agent loop and custom tools, as hooks are most useful once you understand what you need to observe or control.&lt;/p&gt;</description></item><item><title>Hooks</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/hooks/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/hooks/_overview/</guid><description/></item><item><title>Hosting</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/hosting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/hosting/</guid><description>&lt;p&gt;This guide covers the infrastructure considerations for running agents in production, including containerization, scaling, and managing long-running agent sessions. A key challenge with hosting agents compared to traditional APIs is that agent runs can take tens of seconds or even minutes due to multi-step tool use, which affects timeout configuration, connection pooling, and load balancer settings. Focus on the recommendations for stateless vs. stateful deployments, as this choice impacts how you handle conversation persistence and recovery from failures. Read this after the secure deployment guide, since security constraints will inform your hosting architecture decisions.&lt;/p&gt;</description></item><item><title>How do Structured Outputs Work?</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/structured-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/structured-outputs/</guid><description>Get Cohere models to produce structured outputs in JSON or tool-call format using response_format and JSON Schema constraints.</description></item><item><title>How to add custom lifespan events</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-lifespan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-lifespan/</guid><description/></item><item><title>How to add custom middleware</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-middleware/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-middleware/</guid><description/></item><item><title>How to add custom routes</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-routes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-routes/</guid><description/></item><item><title>How to add evaluators to an existing experiment (Python only)</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-existing-experiment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-existing-experiment/</guid><description/></item><item><title>How to add semantic search to your agent deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/semantic-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/semantic-search/</guid><description/></item><item><title>How to add TTLs to your application</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configure-ttl/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configure-ttl/</guid><description/></item><item><title>How to audit evaluator scores</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/audit-evaluator-scores/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/audit-evaluator-scores/</guid><description/></item><item><title>How to Authenticate When Publishing to the Official MCP Registry</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/authentication/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/authentication/</guid><description>&lt;p&gt;Authentication is the first barrier you will hit when trying to publish an MCP server to the official registry, and getting it wrong means silent failures with unhelpful error messages. Focus on how GitHub-based identity verification works and the relationship between your GitHub account and registry publishing permissions. If you are building CI/CD pipelines for MCP server releases, read this before the GitHub Actions guide so you understand the credential flow that automation depends on.&lt;/p&gt;</description></item><item><title>How to Automate Publishing with GitHub Actions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/github-actions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/github-actions/</guid><description>&lt;p&gt;Automating MCP server publishing through GitHub Actions eliminates manual release steps and ensures every tagged release reaches the registry consistently. The guide walks through workflow file configuration, secret management for registry credentials, and trigger conditions for version-based publishing. A common pitfall is misconfiguring the authentication token scope, which produces permissions errors that surface only at publish time rather than during the workflow setup. Read the authentication guide first to understand the credential requirements before wiring up the action.&lt;/p&gt;</description></item><item><title>How to build a real-time image generator with Flux and Together AI</title><link>https://learn-ai.blindshot.kz/docs/together-ai/external-link-02/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/external-link-02/</guid><description/></item><item><title>How To Build An AI Search Engine (OSS Perplexity Clone)</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/ai-search-engine/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/ai-search-engine/</guid><description>How to build an AI search engine inspired by Perplexity with Next.js and Together AI</description></item><item><title>How To Build An Interactive AI Tutor With Llama 3.1</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/ai-tutor/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/ai-tutor/</guid><description>Learn we built LlamaTutor from scratch – an open source AI tutor with 90k users.</description></item><item><title>How To Build An Open Source NotebookLM: PDF To Podcast</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/open-notebooklm-pdf-to-podcast/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/open-notebooklm-pdf-to-podcast/</guid><description>In this guide we will see how to create a podcast like the one below from a PDF input!</description></item><item><title>How to cancel a run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cancel-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cancel-run/</guid><description>Cancel a single run or multiple runs via the API, and choose between interrupt and rollback actions.</description></item><item><title>How to collect user feedback for Agent Server runs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-feedback/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-feedback/</guid><description/></item><item><title>How to compare experiment results</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/compare-experiment-results/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/compare-experiment-results/</guid><description/></item><item><title>How to create a composite evaluator</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/composite-evaluators-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/composite-evaluators-sdk/</guid><description/></item><item><title>How to create a composite evaluator</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/composite-evaluators-ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/composite-evaluators-ui/</guid><description/></item><item><title>How to create and manage datasets programmatically</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-datasets-programmatically/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-datasets-programmatically/</guid><description/></item><item><title>How to customize the Dockerfile</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-docker/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-docker/</guid><description/></item><item><title>How to define a code evaluator</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/code-evaluator-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/code-evaluator-sdk/</guid><description/></item><item><title>How to define a code evaluator</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/code-evaluator-ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/code-evaluator-ui/</guid><description/></item><item><title>How to define a summary evaluator</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/summary/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/summary/</guid><description/></item><item><title>How to define a target function to evaluate</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/define-target-function/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/define-target-function/</guid><description/></item><item><title>How to define an LLM-as-a-judge evaluator</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/llm-as-judge-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/llm-as-judge-sdk/</guid><description/></item><item><title>How to define an LLM-as-a-judge evaluator</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/llm-as-judge/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/llm-as-judge/</guid><description>&lt;p&gt;LLM-as-judge is the workhorse evaluator for open-ended outputs where exact-match scoring is impossible, so this page becomes essential the moment you move past trivial test cases. Pay close attention to how you define the judge prompt and scoring schema — vague rubrics produce noisy, irreproducible scores, the most common pitfall here. This is conceptually the same technique RAGAS and OpenAI&amp;rsquo;s agent evals implement, but LangSmith binds the judge directly to traced runs. Read the evaluation quickstart first to understand datasets and runs.&lt;/p&gt;</description></item><item><title>How to evaluate a graph</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-graph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-graph/</guid><description/></item><item><title>How to evaluate a runnable</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langchain-runnable/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langchain-runnable/</guid><description/></item><item><title>How to evaluate an application's intermediate steps</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-on-intermediate-steps/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-on-intermediate-steps/</guid><description/></item><item><title>How to evaluate an LLM application</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-llm-application/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-llm-application/</guid><description/></item><item><title>How to evaluate with OpenTelemetry</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-with-opentelemetry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-with-opentelemetry/</guid><description/></item><item><title>How to evaluate with repetitions</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/repetition/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/repetition/</guid><description/></item><item><title>How to evaluate your agent with trajectory evaluations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trajectory-evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trajectory-evals/</guid><description/></item><item><title>How to fetch performance metrics for an experiment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fetch-perf-metrics-experiment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fetch-perf-metrics-experiment/</guid><description/></item><item><title>How to filter experiments in the UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/filter-experiments-ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/filter-experiments-ui/</guid><description/></item><item><title>How to Get Predictable Outputs with Cohere Models</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/predictable-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/predictable-outputs/</guid><description>Strategies for decoding text, and the parameters that impact the randomness and predictability of a language model&amp;rsquo;s output.</description></item><item><title>How to handle model rate limits</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/rate-limiting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/rate-limiting/</guid><description/></item><item><title>How to implement generative user interfaces with LangGraph</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/generative-ui-react/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/generative-ui-react/</guid><description/></item><item><title>How to interact with a deployment using RemoteGraph</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/use-remote-graph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/use-remote-graph/</guid><description/></item><item><title>How to kick off background runs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/background-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/background-run/</guid><description/></item><item><title>How to read experiment results locally</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/read-local-experiment-results/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/read-local-experiment-results/</guid><description/></item><item><title>How to retry failed runs in experiments (Python only)</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-with-retry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-with-retry/</guid><description/></item><item><title>How to return categorical vs numerical metrics</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/metric-type/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/metric-type/</guid><description/></item><item><title>How to return multiple scores in one evaluator</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/multiple-scores/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/multiple-scores/</guid><description/></item><item><title>How to run a pairwise evaluation</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-pairwise/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-pairwise/</guid><description/></item><item><title>How to run an evaluation asynchronously</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluation-async/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluation-async/</guid><description/></item><item><title>How to run an evaluation locally (Python only)</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/local/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/local/</guid><description/></item><item><title>How to run evaluations with pytest</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/pytest/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/pytest/</guid><description/></item><item><title>How to run evaluations with Vitest/Jest</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/vitest-jest/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/vitest-jest/</guid><description/></item><item><title>How to run multiple agents on the same thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/same-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/same-thread/</guid><description/></item><item><title>How to run nanochat on Instant Clusters⚡️</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/nanochat-on-instant-clusters/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/nanochat-on-instant-clusters/</guid><description>Learn how to train Andrej Karpathy&amp;rsquo;s end-to-end ChatGPT clone on Together&amp;rsquo;s on-demand GPU clusters</description></item><item><title>How to set up a JavaScript application</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/setup-javascript/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/setup-javascript/</guid><description/></item><item><title>How to set up an application with pyproject.toml</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/setup-pyproject/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/setup-pyproject/</guid><description/></item><item><title>How to set up an application with requirements.txt</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/setup-app-requirements-txt/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/setup-app-requirements-txt/</guid><description/></item><item><title>How to simulate multi-turn interactions</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/multi-turn-simulation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/multi-turn-simulation/</guid><description/></item><item><title>How to Start with the Cohere Toolkit</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-toolkit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-toolkit/</guid><description>Build and deploy RAG applications quickly with the Cohere Toolkit, which offers pre-built front-end and back-end components.</description></item><item><title>How to sync prompts with GitHub</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/prompt-commit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/prompt-commit/</guid><description/></item><item><title>How to upload experiments run outside of LangSmith with the REST API</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/upload-existing-experiments/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/upload-existing-experiments/</guid><description/></item><item><title>How to use a custom checkpointer</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-checkpointer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-checkpointer/</guid><description>Replace the built-in Postgres checkpointer with a custom BaseCheckpointSaver implementation in your agent deployment.</description></item><item><title>How to use a custom store</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-store/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-store/</guid><description>Replace the built-in Postgres store with a custom BaseStore implementation in your agent deployment.</description></item><item><title>How to use prebuilt evaluators</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/prebuilt-evaluators/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/prebuilt-evaluators/</guid><description/></item><item><title>How to use Serverless SFT</title><link>https://learn-ai.blindshot.kz/docs/wandb/training/sft-training/sft-training/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/training/sft-training/sft-training/</guid><description/></item><item><title>How to use Studio</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/use-studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/use-studio/</guid><description/></item><item><title>How to use the REST API</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-evals-api-only/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-evals-api-only/</guid><description/></item><item><title>HTTP Request Retries</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/retries/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/retries/_overview/</guid><description/></item><item><title>HttpAgent</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/http-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/http-agent/</guid><description>HTTP-based agent for connecting to remote AI agents</description></item><item><title>HubSpot Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/hubspot/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/hubspot/</guid><description>Manage companies and contacts in HubSpot with CrewAI.</description></item><item><title>HubSpot Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/hubspot-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/hubspot-trigger/</guid><description>Trigger CrewAI crews directly from HubSpot Workflows</description></item><item><title>Hugging Face</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/hugging-face/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/hugging-face/</guid><description/></item><item><title>Hugging Face</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/huggingface/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/huggingface/_overview/</guid><description/></item><item><title>Hugging Face</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/huggingface/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/huggingface/</guid><description/></item><item><title>Hugging Face Accelerate</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/accelerate/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/accelerate/</guid><description>Training and inference at scale made simple, efficient and adaptable</description></item><item><title>Hugging Face Diffusers</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/diffusers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/diffusers/</guid><description/></item><item><title>Hugging Face Hub</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/huggingface/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/huggingface/</guid><description>Integrate Hugging Face Hub with W&amp;amp;B Weave to track and analyze your machine learning applications</description></item><item><title>Hugging Face Inference Endpoints</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/hugging-face-inference-endpoints/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/hugging-face-inference-endpoints/</guid><description>Using Hugging Face Inference Endpoints and Pinecone to generate and index high-quality vector embeddings</description></item><item><title>Hugging Face Server</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/hugging-face-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/hugging-face-server/</guid><description/></item><item><title>Hugging Face Simple Transformers</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/simpletransformers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/simpletransformers/</guid><description>How to integrate W&amp;amp;B with the Transformers library by Hugging Face.</description></item><item><title>Hugging Face Transformers</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/huggingface_transformers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/huggingface_transformers/</guid><description/></item><item><title>Human Feedback in Flows</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-feedback-in-flows/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-feedback-in-flows/</guid><description>Learn how to integrate human feedback directly into your CrewAI Flows using the @human_feedback decorator</description></item><item><title>Human input</title><link>https://learn-ai.blindshot.kz/docs/google/adk/workflows/human-input/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/workflows/human-input/_overview/</guid><description/></item><item><title>Human Input on Execution</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-input-on-execution/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-input-on-execution/</guid><description>Integrating CrewAI with human input during execution in complex decision-making processes and leveraging the full capabilities of the agent&amp;rsquo;s attributes and tools.</description></item><item><title>Human-in-the-loop</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/human-in-the-loop/</guid><description>Learn how to configure human approval for sensitive tool operations</description></item><item><title>Human-in-the-loop</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/human-in-the-loop/</guid><description/></item><item><title>Human-in-the-loop</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/human-in-the-loop/</guid><description>Learn how to configure human approval for sensitive tool operations</description></item><item><title>Human-in-the-loop</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/human-in-the-loop/</guid><description/></item><item><title>Human-in-the-Loop</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/human-in-the-loop/</guid><description>Add approval workflows with interrupt-based human review</description></item><item><title>Human-in-the-Loop</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/human-in-the-loop/</guid><description>Add approval workflows with interrupt-based human review</description></item><item><title>Human-in-the-Loop (HITL) Workflows</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-in-the-loop/</guid><description>Learn how to implement Human-in-the-Loop workflows in CrewAI for enhanced decision-making</description></item><item><title>Human-in-the-loop using server API</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/add-human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/add-human-in-the-loop/</guid><description/></item><item><title>Hybrid</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/hybrid/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/hybrid/</guid><description/></item><item><title>Hybrid search</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/hybrid-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/hybrid-search/</guid><description>Combine semantic and lexical search for better results.</description></item><item><title>Hybrid Search with RRF</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/hybrid-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/hybrid-search/</guid><description>Learn how to combine multiple ranking strategies using Reciprocal Rank Fusion (RRF). RRF is ideal for hybrid search scenarios where you want to merge results from different ranking methods (e.g., dense and sparse embeddings).</description></item><item><title>Hydra</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/hydra/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/hydra/</guid><description>How to integrate W&amp;amp;B with Hydra.</description></item><item><title>Hyperbrowser Load Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/hyperbrowserloadtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/hyperbrowserloadtool/</guid><description>The &amp;lsquo;HyperbrowserLoadTool&amp;rsquo; enables web scraping and crawling using Hyperbrowser.</description></item><item><title>IA3</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/task_guides/ia3/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/task_guides/ia3/</guid><description/></item><item><title>IBM watsonx.ai</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/ibm-watsonx/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/ibm-watsonx/</guid><description>Mistral AI&amp;rsquo;s Large model on IBM watsonx.ai: SaaS &amp;amp; on-premise deployment with setup, API access, and usage guides</description></item><item><title>Identity and access management (IAM)</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/org_team_struct/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/org_team_struct/</guid><description/></item><item><title>Image generation</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/image-generation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/image-generation/</guid><description>Learn how to generate or edit images with the OpenAI API and image generation models.</description></item><item><title>Image generation</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-image-generation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-image-generation/</guid><description>Generate and edit images using DALL-E and GPT-4o&amp;rsquo;s built-in image generation capabilities as tools within the Responses API.</description></item><item><title>Image Generation</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/image_generation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/image_generation/</guid><description>Built-in tool for agents to generate images on demand with detailed output handling and download options</description></item><item><title>Image Generation with DALL-E</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/dalle-image-generation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/dalle-image-generation/</guid><description>Learn how to use DALL-E for AI-powered image generation in your CrewAI projects</description></item><item><title>Image Generation with Flux2</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated_containers_image/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated_containers_image/</guid><description>Deploy a Flux2 image generation model on Together&amp;rsquo;s managed GPU infrastructure using Dedicated Containers.</description></item><item><title>Image, Audio, Video &amp;amp; Document Input</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/input/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/input/_overview/</guid><description/></item><item><title>Images and vision</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/images-vision/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/images-vision/</guid><description>Learn how to understand or generate images with the OpenAI API.</description></item><item><title>Implement a LangChain integration</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/implement-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/implement-langchain/</guid><description/></item><item><title>Implement a LangChain integration</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/implement-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/implement-langchain/</guid><description/></item><item><title>Implement distributed tracing</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/distributed-tracing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/distributed-tracing/</guid><description/></item><item><title>Implement multitenancy</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/implement-multitenancy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/implement-multitenancy/</guid><description>Use namespaces to isolate tenant data securely.</description></item><item><title>Import and export data</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/public-api-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/public-api-guide/</guid><description>Import data from MLFlow, export or update data that you have saved to W&amp;amp;B</description></item><item><title>Import exported data</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-export-downstream/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-export-downstream/</guid><description>Import LangSmith bulk-exported Parquet data into BigQuery, Snowflake, Redshift, Clickhouse, or DuckDB.</description></item><item><title>Import records</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/import-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/import-data/</guid><description>Import large datasets efficiently from S3, GCS, or Azure into Pinecone indexes.</description></item><item><title>Improve LLM-as-judge evaluators using human feedback</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/improve-judge-evaluator-feedback/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/improve-judge-evaluator-feedback/</guid><description/></item><item><title>Improve RAG</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/cli/improve_rag/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/cli/improve_rag/_overview/</guid><description/></item><item><title>Include HTTP headers in server logs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configurable-logs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configurable-logs/</guid><description/></item><item><title>Include multimodal content in a prompt</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/multimodal-content/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/multimodal-content/</guid><description/></item><item><title>Increase Consistency</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/increase-consistency/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/increase-consistency/</guid><description>&lt;p&gt;Output consistency matters most when Claude powers automated pipelines where downstream code parses its responses. This guide covers techniques like temperature reduction, few-shot examples, structured output formats, and explicit schemas that make Claude&amp;rsquo;s responses more deterministic. The single biggest lever is providing concrete output examples in your prompt &amp;ndash; this anchors the model&amp;rsquo;s formatting far more reliably than verbal instructions alone. Read this before building any system that pipes Claude output into JSON parsers, database inserts, or multi-step agent workflows.&lt;/p&gt;</description></item><item><title>Increase search relevance</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/optimize/increase-relevance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/optimize/increase-relevance/</guid><description>Learn techniques to improve search result quality.</description></item><item><title>Increase throughput</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/optimize/increase-throughput/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/optimize/increase-throughput/</guid><description>Learn techniques to improve data operation performance and query throughput.</description></item><item><title>Incremental Snapshots (ARC2)</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/rl-rollout-delta-checkpoints/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/rl-rollout-delta-checkpoints/</guid><description>Build ARC2 incremental checkpoints, use per-file hints, and signal delta hot-loads for BYOT RL rollout integrations.</description></item><item><title>Inference Error Codes</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/inference-error-codes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/inference-error-codes/</guid><description>Common error codes, their meanings, and resolutions for inference requests</description></item><item><title>Inference FAQs</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/inference-faqs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/inference-faqs/</guid><description/></item><item><title>Inference for RL Rollouts</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/rollout-inference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/rollout-inference/</guid><description>Session affinity, weight-swap behavior, and MoE Router Replay for rollout traffic on Fireworks inference deployments.</description></item><item><title>Inference Rate Limits</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/rate-limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/rate-limits/</guid><description>Rate limits restrict how often a user or client can access our API within a set timeframe.</description></item><item><title>Initialize a sweep</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/initialize-sweeps/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/initialize-sweeps/</guid><description>Initialize a W&amp;amp;B Sweep</description></item><item><title>Initialize runs</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/initialize-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/initialize-run/</guid><description/></item><item><title>Install LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/install/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/install/</guid><description/></item><item><title>Install LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/install/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/install/</guid><description/></item><item><title>Install LangGraph</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/install/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/install/</guid><description/></item><item><title>Install LangGraph</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/install/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/install/</guid><description/></item><item><title>Installation</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/installation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/installation/</guid><description>Get started with CrewAI - Install, configure, and build your first AI crew</description></item><item><title>Installation</title><link>https://learn-ai.blindshot.kz/docs/instructor/installation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/installation/_overview/</guid><description>Installation instructions</description></item><item><title>Installation</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/install/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/install/</guid><description/></item><item><title>Installation</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/install/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/install/_overview/</guid><description/></item><item><title>Installation</title><link>https://learn-ai.blindshot.kz/docs/ragas/getstarted/install/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/getstarted/install/_overview/</guid><description/></item><item><title>Installation</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/installation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/installation/</guid><description/></item><item><title>Installing the CLI</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/install/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/install/</guid><description>Install the Chroma CLI to run a local server, browse collections, and interact with Chroma Cloud.</description></item><item><title>Instill AI</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/instill/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/instill/</guid><description/></item><item><title>Instructor</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/instructor/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/instructor/</guid><description/></item><item><title>Instructor</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/instructor/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/instructor/</guid><description>Trace and evaluate structured data extraction from LLMs with Weave&amp;rsquo;s Instructor integration, capturing Pydantic model validation, retry logic, and JSON schema enforcement for reliable structured output workflows.</description></item><item><title>Integrate Slack with an agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-slack-app/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-slack-app/</guid><description>Connect the LangSmith Agent Builder to your Slack workspace to let your agents communicate with users in Slack.</description></item><item><title>Integrate Slack with an agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/slack-app/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/slack-app/</guid><description>Connect LangSmith Fleet to your Slack workspace to let your agents communicate with users in Slack.</description></item><item><title>Integrate Teams with an agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/teams-app/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/teams-app/</guid><description>Connect LangSmith Fleet to Microsoft Teams by bringing your own Azure Bot to let agents communicate with users in Teams.</description></item><item><title>Integrate with Amazon S3</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/integrations/integrate-with-amazon-s3/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/integrations/integrate-with-amazon-s3/</guid><description>Set up Amazon S3 integrationfor data import and audit logs.</description></item><item><title>Integrate with Azure Blob Storage</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/integrations/integrate-with-azure-blob-storage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/integrations/integrate-with-azure-blob-storage/</guid><description>Set up Azure Blob Storage integration for data import.</description></item><item><title>Integrate with Google Cloud Storage</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/integrations/integrate-with-google-cloud-storage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/integrations/integrate-with-google-cloud-storage/</guid><description>Integrate Google Cloud Storage for bulk data import</description></item><item><title>Integrating Embedding Models with Other Tools</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/integrations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/integrations/</guid><description>Learn how to integrate Cohere embeddings with open-source vector search engines for enhanced applications.</description></item><item><title>Integration ecosystem</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/build-integration/integration-ecosystem/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/build-integration/integration-ecosystem/</guid><description/></item><item><title>Integration testing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/integration-testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/integration-testing/</guid><description>Test agents with real LLM APIs by organizing tests, managing keys, handling flakiness, and controlling costs.</description></item><item><title>Integration testing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/integration-testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/integration-testing/</guid><description>Test agents with real LLM APIs by organizing tests, managing keys, handling flakiness, and controlling costs.</description></item><item><title>Integrations</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/chroma-integrations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/chroma-integrations/</guid><description/></item><item><title>Integrations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/integrations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/integrations/</guid><description/></item><item><title>Integrations</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_overview/</guid><description/></item><item><title>Integrations</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/integrations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/integrations/</guid><description>Use Together AI models through partner integrations.</description></item><item><title>Integrations and observability</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/integrations-observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/integrations-observability/</guid><description>Learn how to integrate MCP into Agents SDK workflows and how to trace and debug runs.</description></item><item><title>Interact with your self-hosted instance of LangSmith</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-usage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-usage/</guid><description/></item><item><title>Interrupt concurrent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/interrupt-concurrent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/interrupt-concurrent/</guid><description/></item><item><title>Interrupt-Aware Run Lifecycle</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/interrupts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/interrupts/</guid><description>Native support for human-in-the-loop pauses and interrupts</description></item><item><title>Interrupts</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/interrupts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/interrupts/</guid><description/></item><item><title>Interrupts</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/interrupts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/interrupts/</guid><description/></item><item><title>Intro to Retrieval</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/build/intro-to-retrieval/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/build/intro-to-retrieval/</guid><description>Ground LLMs in your own data using retrieval-augmented generation.</description></item><item><title>Ip Addresses</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/ip-addresses/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/ip-addresses/</guid><description/></item><item><title>IP egress ranges</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/ip-addresses/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/ip-addresses/</guid><description>Find the published IP egress ranges used by OpenAI products.</description></item><item><title>Iterate and Improve Prompts</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/iterate_prompt/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/iterate_prompt/_overview/</guid><description/></item><item><title>Iterative Workflow</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/iterative-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/iterative-workflow/</guid><description>Iteratively call LLMs to optimize task performance.</description></item><item><title>JetBrains IDEs</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/jetbrains/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/jetbrains/</guid><description>Use Claude Code with JetBrains IDEs including IntelliJ, PyCharm, WebStorm, and more</description></item><item><title>Jig CLI</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/deployments-jig/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/deployments-jig/</guid><description>Build, push, and deploy containers to Together&amp;rsquo;s managed GPU infrastructure.</description></item><item><title>Jina AI</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/jina-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/jina-ai/</guid><description/></item><item><title>Jina AI</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/jina/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/jina/</guid><description/></item><item><title>Jira Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/jira/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/jira/</guid><description>Issue tracking and project management with Jira integration for CrewAI.</description></item><item><title>Join &amp; rejoin streams</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/join-rejoin/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/join-rejoin/</guid><description>Disconnect from and reconnect to running agent streams</description></item><item><title>Join &amp; rejoin streams</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/join-rejoin/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/join-rejoin/</guid><description>Disconnect from and reconnect to running agent streams</description></item><item><title>Join Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/join-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/join-run/</guid><description>Wait for a run to finish.</description></item><item><title>Join Run Stream</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/join-run-stream/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/join-run-stream/</guid><description>Join a run stream. This endpoint streams output in real-time from a run similar to the /threads/&lt;strong&gt;THREAD_ID&lt;/strong&gt;/runs/stream endpoint. If the run has been created with &amp;lsquo;stream_resumable=true&amp;rsquo;, the stream can be resumed from the last seen event ID.</description></item><item><title>Join Thread Stream</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/join-thread-stream/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/join-thread-stream/</guid><description>This endpoint streams output in real-time from a thread. The stream will include the output of each run executed sequentially on the thread and will remain open indefinitely. It is the responsibility of the calling client to close the connection.</description></item><item><title>Joins &amp; Reducers</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/graph/beta/joins/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/graph/beta/joins/_overview/</guid><description/></item><item><title>Json Mode</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/json_mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/json_mode/</guid><description/></item><item><title>JSON mode</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/json-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/json-mode/</guid><description>Enable JSON mode by setting response_format to type json_object in API requests</description></item><item><title>JSON RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/jsonsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/jsonsearchtool/</guid><description>The &amp;lsquo;JSONSearchTool&amp;rsquo; is designed to search JSON files and return the most relevant results.</description></item><item><title>Keep customer data separate in Pinecone</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/keep-customer-data-separate/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/keep-customer-data-separate/</guid><description/></item><item><title>Keras</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/keras/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/keras/</guid><description/></item><item><title>Kernels Hub Integration and Usage</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/kernels_hub/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/kernels_hub/</guid><description/></item><item><title>Kickoff Crew</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/kickoff-crew/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/kickoff-crew/</guid><description>Kickoff a Crew on CrewAI AMP</description></item><item><title>Kickoff Crew Asynchronously</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/kickoff-async/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/kickoff-async/</guid><description>Kickoff a Crew Asynchronously</description></item><item><title>Kickoff Crew for Each</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/kickoff-for-each/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/kickoff-for-each/</guid><description>Kickoff Crew for Each Item in a List</description></item><item><title>Kimi K2 family</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/models/kimi-k2/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/models/kimi-k2/</guid><description>Using Kimi K2 family models in agentic and tool-calling workflows on Fireworks.</description></item><item><title>Koog</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/koog/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/koog/</guid><description>Trace Kotlin-based Koog agents with Weave&amp;rsquo;s built-in OpenTelemetry support, capturing single-run and complex workflow executions, tool calls, prompts, and completions for full observability of your Kotlin AI applications.</description></item><item><title>KTO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/kto_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/kto_trainer/</guid><description/></item><item><title>Kv Cache</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/kv_cache/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/kv_cache/</guid><description/></item><item><title>Langchain</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/langchain/</guid><description/></item><item><title>Langchain</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_langchain/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_langchain/_overview/</guid><description/></item><item><title>LangChain</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/langchain/</guid><description>Using LangChain and Pinecone to add knowledge to LLMs</description></item><item><title>LangChain</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/langchain/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/langchain/_overview/</guid><description/></item><item><title>LangChain</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/langchain/</guid><description>Use Weave to track and log all calls made through the LangChain Python library</description></item><item><title>LangChain Academy</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/academy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/academy/</guid><description/></item><item><title>LangChain Academy</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/academy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/academy/</guid><description/></item><item><title>LangChain Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/langchaintool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/langchaintool/</guid><description>The &amp;lsquo;LangChainTool&amp;rsquo; is a wrapper for LangChain tools and query engines.</description></item><item><title>LangChain v1 migration guide</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/migrate/langchain-v1/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/migrate/langchain-v1/</guid><description/></item><item><title>LangChain v1 migration guide</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/migrate/langchain-v1/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/migrate/langchain-v1/</guid><description/></item><item><title>LangDB Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langdb/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langdb/</guid><description>Govern, secure, and optimize your CrewAI workflows with LangDB AI Gateway—access 350+ models, automatic routing, cost optimization, and full observability.</description></item><item><title>Langfuse</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_langfuse/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_langfuse/_overview/</guid><description/></item><item><title>Langfuse Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langfuse/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langfuse/</guid><description>Learn how to integrate Langfuse with CrewAI via OpenTelemetry using OpenLit</description></item><item><title>LangGraph</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_langgraph_agent_evaluation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_langgraph_agent_evaluation/_overview/</guid><description/></item><item><title>LangGraph</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/langgraph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/langgraph/</guid><description>Using LangGraph with Together AI</description></item><item><title>LangGraph CLI</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cli/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cli/</guid><description/></item><item><title>LangGraph JS/TS SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langgraph-js-ts-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langgraph-js-ts-sdk/</guid><description/></item><item><title>LangGraph Python SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langgraph-python-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langgraph-python-sdk/</guid><description/></item><item><title>LangGraph runtime</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/pregel/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/pregel/</guid><description/></item><item><title>LangGraph runtime</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/pregel/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/pregel/</guid><description/></item><item><title>LangGraph v1 migration guide</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/migrate/langgraph-v1/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/migrate/langgraph-v1/</guid><description/></item><item><title>LangGraph v1 migration guide</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/migrate/langgraph-v1/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/migrate/langgraph-v1/</guid><description/></item><item><title>Langsmith</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_langsmith/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_langsmith/_overview/</guid><description/></item><item><title>LangSmith</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/langsmith/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/langsmith/_overview/</guid><description/></item><item><title>LangSmith Agent Builder</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder/</guid><description>Create helpful AI agents without code. Start from a template, connect your accounts, and let the agent handle routine work while you stay in control.</description></item><item><title>LangSmith CLI</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-cli/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-cli/</guid><description>Query and manage LangSmith projects, traces, runs, datasets, evaluators, experiments, and threads from the terminal</description></item><item><title>LangSmith control plane</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/control-plane/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/control-plane/</guid><description/></item><item><title>LangSmith data plane</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-plane/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-plane/</guid><description/></item><item><title>LangSmith Deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deployment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deployment/</guid><description>Deploy and manage agents with durable execution, real-time streaming, and horizontal scaling.</description></item><item><title>LangSmith Deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deployments/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deployments/</guid><description>Deploy and manage agents with durable execution, real-time streaming, and horizontal scaling.</description></item><item><title>LangSmith Deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/deploy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/deploy/</guid><description/></item><item><title>LangSmith Deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/deploy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/deploy/</guid><description/></item><item><title>LangSmith Deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/deploy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/deploy/</guid><description/></item><item><title>LangSmith Deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/deploy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/deploy/</guid><description>&lt;p&gt;LangGraph deployment through LangSmith provides managed infrastructure for hosting graph-based agents with built-in tracing, monitoring, and versioning. This guide covers the deployment pipeline from local development to hosted execution, including environment configuration and API endpoint setup. A key consideration is that deploying to LangSmith introduces a vendor dependency that affects your architecture, so evaluate the tracing and observability benefits against the portability tradeoffs before committing. If you need self-hosted deployment or want to compare alternatives, review this alongside general containerization approaches for Python applications.&lt;/p&gt;</description></item><item><title>LangSmith Deployment components</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/components/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/components/</guid><description/></item><item><title>LangSmith Deployment SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/smith-deployments-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/smith-deployments-sdk/</guid><description/></item><item><title>LangSmith docs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/home/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/home/</guid><description/></item><item><title>LangSmith Evaluation</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluation/</guid><description/></item><item><title>LangSmith Fetch</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-fetch/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-fetch/</guid><description/></item><item><title>LangSmith Fleet</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/_overview/</guid><description>Create helpful AI agents without code. Start from a template, connect your accounts, and let the agent handle routine work while you stay in control.</description></item><item><title>LangSmith for Enterprise</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/enterprise/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/enterprise/</guid><description>Deployment options, access control, data privacy, cost controls, and security compliance for Enterprise users.</description></item><item><title>LangSmith Go SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/smith-go-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/smith-go-sdk/</guid><description/></item><item><title>LangSmith Java SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/smith-java-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/smith-java-sdk/</guid><description/></item><item><title>LangSmith JS/TS SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/smith-js-ts-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/smith-js-ts-sdk/</guid><description/></item><item><title>LangSmith MCP Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-mcp-server/</guid><description>Use the Model Context Protocol (MCP) server to let language models fetch conversation history, prompts, runs, datasets, experiments, and billing from LangSmith.</description></item><item><title>LangSmith Observability</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/observability/</guid><description/></item><item><title>LangSmith Observability</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/observability/</guid><description/></item><item><title>LangSmith Observability</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/observability/</guid><description/></item><item><title>LangSmith Observability</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/observability/</guid><description/></item><item><title>LangSmith Observability</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/observability/</guid><description/></item><item><title>LangSmith Polly</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/polly-evaluation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/polly-evaluation/</guid><description/></item><item><title>LangSmith Polly</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/polly-observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/polly-observability/</guid><description/></item><item><title>LangSmith Polly</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/polly-prompt-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/polly-prompt-engineering/</guid><description/></item><item><title>LangSmith Polly</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/polly/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/polly/</guid><description/></item><item><title>LangSmith Python SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/smith-python-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/smith-python-sdk/</guid><description/></item><item><title>LangSmith skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/skills/</guid><description>Use Agent Skills to work with LangSmith traces, datasets, and evaluators from your coding agent.</description></item><item><title>LangSmith status</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/status/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/status/</guid><description/></item><item><title>LangSmith Studio</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/studio/</guid><description/></item><item><title>LangSmith Studio</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/studio/</guid><description/></item><item><title>LangSmith Studio</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/studio/</guid><description/></item><item><title>LangSmith Studio</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/studio/</guid><description/></item><item><title>LangSmith Studio</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/studio/</guid><description/></item><item><title>LangSmith Tool Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-mcp-framework/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-mcp-framework/</guid><description/></item><item><title>LangSmith Tool Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/mcp-framework/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/mcp-framework/</guid><description/></item><item><title>LangSmith-managed ClickHouse</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-managed-clickhouse/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-managed-clickhouse/</guid><description/></item><item><title>Langtrace</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/langtrace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/langtrace/</guid><description/></item><item><title>Langtrace Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langtrace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langtrace/</guid><description>How to monitor cost, latency, and performance of CrewAI Agents using Langtrace, an external observability tool.</description></item><item><title>Language Models</title><link>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/language_models/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/language_models/_overview/</guid><description/></item><item><title>Latency optimization</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/latency-optimization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/latency-optimization/</guid><description>Improve latency across a wide variety of LLM-related use cases.</description></item><item><title>Learning DSPy</title><link>https://learn-ai.blindshot.kz/docs/dspy/learn/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/learn/_overview/</guid><description>Three stages of building AI systems - programming, evaluation, and optimization</description></item><item><title>Legal and compliance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/legal-and-compliance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/legal-and-compliance/</guid><description>Legal agreements, compliance certifications, and security information for Claude Code.</description></item><item><title>Legal Summarization</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/legal-summarization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/legal-summarization/</guid><description>Using Claude to extract key information from legal documents and generate structured summaries.</description></item><item><title>Let Claude use your computer from the CLI</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/computer-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/computer-use/</guid><description>Enable computer use in the Claude Code CLI so Claude can open apps, click, type, and see your screen on macOS. Test native apps, debug visual issues, and automate GUI-only tools without leaving your terminal.</description></item><item><title>Lexical search</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/lexical-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/lexical-search/</guid><description>Perform keyword-based search on sparse indexes</description></item><item><title>Liger Kernel Integration</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/liger_kernel_integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/liger_kernel_integration/</guid><description/></item><item><title>Limitations of querying by ID</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/limitations-of-querying-by-id/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/limitations-of-querying-by-id/</guid><description/></item><item><title>Limits and expected behaviors</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/details/limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/details/limits/</guid><description>A list of Weave&amp;rsquo;s limitations, known issues, and expected behaviors</description></item><item><title>Lineage graphs and audit history</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/registry/lineage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/registry/lineage/</guid><description>Use lineage graphs to visualize a linked artifact&amp;rsquo;s history and audit a collection&amp;rsquo;s history.</description></item><item><title>Linear Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/linear/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/linear/</guid><description>Software project and bug tracking with Linear integration for CrewAI.</description></item><item><title>Link a W&amp;B run to trace function calls</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-to-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-to-run/</guid><description>Associate Weave traces with W&amp;amp;B runs for experiment tracking</description></item><item><title>Link an artifact version to a collection</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/registry/link_version/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/registry/link_version/</guid><description/></item><item><title>Linkup Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/linkupsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/linkupsearchtool/</guid><description>The &amp;lsquo;LinkupSearchTool&amp;rsquo; enables querying the Linkup API for contextual information.</description></item><item><title>List Models</title><link>https://learn-ai.blindshot.kz/docs/deepseek/api/list-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/api/list-models/</guid><description/></item><item><title>List namespaces with optional match conditions.</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/list-namespaces-with-optional-match-conditions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/list-namespaces-with-optional-match-conditions/</guid><description/></item><item><title>List record IDs</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/list-record-ids/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/list-record-ids/</guid><description>List the IDS of records in an index namespace.</description></item><item><title>List Runs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/list-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/list-runs/</guid><description>List runs for a thread.</description></item><item><title>LiteLLM</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/litellm/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/litellm/_overview/</guid><description/></item><item><title>LiteLLM</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/litellm/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/litellm/_overview/</guid><description/></item><item><title>LiteLLM</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/litellm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/litellm/</guid><description>Automatically track and log LLM calls made via LiteLLM</description></item><item><title>LiteLLM integration</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/models/litellm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/models/litellm/</guid><description>Configure LiteLLM as a provider to fan out across multiple model backends.</description></item><item><title>LiteRT-LM</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/litert-lm/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/litert-lm/_overview/</guid><description/></item><item><title>llama-cpp-python</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/llama-cpp-python/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/llama-cpp-python/_overview/</guid><description/></item><item><title>LlamaIndex</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/llamaindex/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/llamaindex/</guid><description/></item><item><title>LlamaIndex</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/llamaindex/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/llamaindex/</guid><description>Using LlamaIndex and Pinecone to build semantic search and RAG applications</description></item><item><title>LlamaIndex</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_llamaindex/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_llamaindex/_overview/</guid><description/></item><item><title>LlamaIndex</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/llamaindex/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/llamaindex/</guid><description>Automatically trace and debug LlamaIndex applications with Weave, capturing all LLM calls, RAG pipelines, agent steps, and evaluations for comprehensive observability of your data-connected AI workflows.</description></item><item><title>LlamaIndex Agents</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/llamaindex_agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/llamaindex_agents/_overview/</guid><description/></item><item><title>LlamaIndex and Cohere's Models</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/llamaindex/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/llamaindex/</guid><description>Learn how to use Cohere and LlamaIndex together to generate responses based on data.</description></item><item><title>LlamaIndex Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/llamaindextool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/llamaindextool/</guid><description>The &amp;lsquo;LlamaIndexTool&amp;rsquo; is a wrapper for LlamaIndex tools and query engines.</description></item><item><title>LlamaStack</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/llama_stack/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/llama_stack/_overview/</guid><description/></item><item><title>LLM agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/llm-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/llm-agents/_overview/</guid><description/></item><item><title>LLM Call Hooks</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-hooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-hooks/</guid><description>Learn how to use LLM call hooks to intercept, modify, and control language model interactions in CrewAI</description></item><item><title>LLM Evaluations</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/ai-evaluations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/ai-evaluations/</guid><description>Learn how to run LLM-as-a-Judge evaluations</description></item><item><title>LLM Judge</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/evaluators/llm-judge/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/evaluators/llm-judge/_overview/</guid><description/></item><item><title>Local development &amp; testing</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/local-dev-testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/local-dev-testing/</guid><description/></item><item><title>Local development with Pinecone Local</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/local-development/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/local-development/</guid><description>Develop locally with an in-memory Pinecone emulator.</description></item><item><title>Local shell</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-local-shell/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-local-shell/</guid><description>Enable agents to run commands in a local shell.</description></item><item><title>Log distributed training experiments</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/distributed-training/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/distributed-training/</guid><description>Use W&amp;amp;B to log distributed training experiments with multiple GPUs.</description></item><item><title>Log evaluation data from your code</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/evaluation_logger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/evaluation_logger/</guid><description>Flexible, incremental way to log evaluation data from Python and TypeScript code</description></item><item><title>Log LLM calls</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/log-llm-trace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/log-llm-trace/</guid><description/></item><item><title>Log media</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/media/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/media/</guid><description>Log media returned in your traces, such as images and videos.</description></item><item><title>Log media and objects</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/media/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/media/</guid><description>Log rich media, from 3D point clouds and molecules to HTML and histograms</description></item><item><title>Log models</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/log-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/log-models/</guid><description/></item><item><title>Log multimodal traces</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/log-multimodal-traces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/log-multimodal-traces/</guid><description/></item><item><title>Log retriever traces</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/log-retriever-trace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/log-retriever-trace/</guid><description/></item><item><title>Log summary metrics</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/log-summary/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/log-summary/</guid><description/></item><item><title>Log tables</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/tables/log_tables/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/tables/log_tables/</guid><description/></item><item><title>Log tables</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/log-tables/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/log-tables/</guid><description>Log tables with W&amp;amp;B.</description></item><item><title>Log user feedback using the SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/attach-user-feedback/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/attach-user-feedback/</guid><description/></item><item><title>Logging</title><link>https://learn-ai.blindshot.kz/docs/google/adk/observability/logging/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/observability/logging/_overview/</guid><description/></item><item><title>Login</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/login/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/login/</guid><description>Authenticate with Chroma Cloud using the CLI.</description></item><item><title>Login code issues</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/login-code-issues/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/login-code-issues/</guid><description/></item><item><title>Long-Form Text Strategies with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/long-form-general-strategies/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/long-form-general-strategies/</guid><description>This discusses ways of getting Cohere&amp;rsquo;s LLM platform to perform well in generating long-form text.</description></item><item><title>Long-term memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/long-term-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/long-term-memory/</guid><description>Learn how to extend deep agents with persistent memory across threads</description></item><item><title>Long-term memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/long-term-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/long-term-memory/</guid><description/></item><item><title>Long-term memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/long-term-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/long-term-memory/</guid><description>Learn how to extend deep agents with persistent memory across threads</description></item><item><title>Long-term memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/long-term-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/long-term-memory/</guid><description/></item><item><title>Look at Your Data</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/build/look-at-your-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/build/look-at-your-data/</guid><description>Design your collection schema and chunking strategy based on your data.</description></item><item><title>Loop agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/loop-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/loop-agents/_overview/</guid><description/></item><item><title>LoRA</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/lora/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/lora/</guid><description>&lt;p&gt;LoRA is the workhorse PEFT method, and this guide is where you move past the basics into the options that actually affect results: initialization, rank, target modules, and merging. Pay close attention to weight initialization, since PEFT defaults to an identity transform and the init_lora_weights=False option exists only for debugging and must never be used in real training. A common mistake is targeting the wrong modules or setting rank without regard to the task, which wastes the method&amp;rsquo;s efficiency. Read the PEFT overview first if LoRA as a concept is new; this is the practical follow-up.&lt;/p&gt;</description></item><item><title>LoRA Fine-Tuning and Inference</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/lora-training-and-inference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/lora-training-and-inference/</guid><description>Fine-tune and run inference for a model with LoRA adapters</description></item><item><title>LoRA methods</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/task_guides/lora_based_methods/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/task_guides/lora_based_methods/</guid><description/></item><item><title>LoRA Without Regret</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/lora_without_regret/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/lora_without_regret/</guid><description/></item><item><title>Loss Functions</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/loss-functions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/loss-functions/</guid><description>Built-in loss functions and custom objectives via forward_backward_custom.</description></item><item><title>Make conversations private</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/resource-auth/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/resource-auth/</guid><description/></item><item><title>Manage a trace</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-trace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-trace/</guid><description>Compare traces side-by-side, share traces publicly, and view server logs from the trace view in LangSmith.</description></item><item><title>Manage access control for projects</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/access-management/restricted-projects/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/access-management/restricted-projects/</guid><description>Manage project access using visibility scopes and project-level roles</description></item><item><title>Manage Agent Builder</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-self-hosted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-self-hosted/</guid><description/></item><item><title>Manage agent settings</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-manage-agent-settings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-manage-agent-settings/</guid><description>Manage your agents in Agent Builder.</description></item><item><title>Manage agent settings</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/manage-agent-settings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/manage-agent-settings/</guid><description>Manage your agents in Fleet.</description></item><item><title>Manage algorithms locally</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/local-controller/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/local-controller/</guid><description>Search and stop algorithms locally instead of using the W&amp;amp;B cloud-hosted service.</description></item><item><title>Manage API keys</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-api-keys/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-api-keys/</guid><description>Create and manage API keys with custom permissions.</description></item><item><title>Manage API keys</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/projects/manage-api-keys/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/projects/manage-api-keys/</guid><description>Create and manage API keys with custom permissions.</description></item><item><title>Manage artifact data retention</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/ttl/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/ttl/</guid><description>Time to live policies (TTL)</description></item><item><title>Manage artifact storage and memory allocation</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/storage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/storage/</guid><description>Manage storage, memory allocation of W&amp;amp;B Artifacts.</description></item><item><title>Manage assistants</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configuration-cloud/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configuration-cloud/</guid><description/></item><item><title>Manage assistants</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/manage-assistants/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/manage-assistants/</guid><description>View, update, and delete, and check the status of assistants.</description></item><item><title>Manage billing in your account</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/billing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/billing/</guid><description/></item><item><title>Manage billing settings</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/app/settings-page/billing-settings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/app/settings-page/billing-settings/</guid><description>Manage your organization&amp;rsquo;s billing settings</description></item><item><title>Manage bucket storage and costs</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/managing-bucket-storage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/managing-bucket-storage/</guid><description>Understand how W&amp;amp;B uses object storage, how deletion maps to bucket bytes, and how to reduce usage on self-managed, Dedicated Cloud, and bring-your-own-bucket deployments.</description></item><item><title>Manage bulk export destinations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-export-destinations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-export-destinations/</guid><description>Configure and manage S3-compatible export destinations for LangSmith bulk exports.</description></item><item><title>Manage Claude's memory</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/memory/</guid><description>Learn how to manage Claude Code&amp;rsquo;s memory across sessions with different memory locations and best practices.</description></item><item><title>Manage Collections</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/collections/manage-collections/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/collections/manage-collections/</guid><description>Learn how to create, get, modify, and delete Chroma collections.</description></item><item><title>Manage cost</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-cost/manage-cost/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-cost/manage-cost/</guid><description>Learn strategies for managing cost in Pinecone.</description></item><item><title>Manage costs effectively</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/costs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/costs/</guid><description>Track token usage, set team spend limits, and reduce Claude Code costs with context management, model selection, extended thinking settings, and preprocessing hooks.</description></item><item><title>Manage datasets</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-datasets/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-datasets/</guid><description/></item><item><title>Manage email settings</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/app/settings-page/emails/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/app/settings-page/emails/</guid><description>Manage emails from the Settings page.</description></item><item><title>Manage feedback &amp; annotation queues programmatically</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/annotation-queues-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/annotation-queues-sdk/</guid><description/></item><item><title>Manage files</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/manage-files/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/manage-files/</guid><description>List, check status, and delete files from your assistant.</description></item><item><title>Manage Fleet</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/self-hosted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/self-hosted/</guid><description/></item><item><title>Manage model configurations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/model-configurations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/model-configurations/</guid><description>Manage model configurations and control their availability across LangSmith features.</description></item><item><title>Manage namespaces</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/manage-namespaces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/manage-namespaces/</guid><description>Create and manage namespaces in serverless indexes.</description></item><item><title>Manage organization members</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-organization-members/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-organization-members/</guid><description>Invite and control organization member access levels.</description></item><item><title>Manage organization members</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-organization-members/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-organization-members/</guid><description>Add and manage organization members and roles.</description></item><item><title>Manage permissions in the OpenAI platform</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/rbac/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/rbac/</guid><description>Learn how to use role-based access control to assign permissions, create custom roles, group users, and scope access across both the OpenAI API and dashboard.</description></item><item><title>Manage pod-based indexes</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/manage-pod-based-indexes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/manage-pod-based-indexes/</guid><description>List, describe, and configure pod-based indexes</description></item><item><title>Manage project members</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-project-members/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-project-members/</guid><description>Add and manage team members in your project.</description></item><item><title>Manage project members</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/projects/manage-project-members/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/projects/manage-project-members/</guid><description>Add and manage project members with role-based access control.</description></item><item><title>Manage projects</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-projects/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-projects/</guid><description>View, rename, and delete projects in your organization.</description></item><item><title>Manage projects</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/projects/manage-projects/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/projects/manage-projects/</guid><description>View, rename, and delete projects in your organization.</description></item><item><title>Manage prompts</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-prompts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-prompts/</guid><description/></item><item><title>Manage prompts programmatically</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-prompts-programmatically/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-prompts-programmatically/</guid><description/></item><item><title>Manage serverless indexes</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/manage-indexes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/manage-indexes/</guid><description>List, describe, and configure serverless indexes.</description></item><item><title>Manage service accounts at the organization-level</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-organization-service-accounts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-organization-service-accounts/</guid><description>Create service accounts for organization-level API access.</description></item><item><title>Manage service accounts at the organization-level</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-service-accounts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-service-accounts/</guid><description>Create service accounts for organization-level API access.</description></item><item><title>Manage service accounts at the project-level</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-project-service-accounts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/manage-project-service-accounts/</guid><description>Enable programmatic access with project-level service accounts.</description></item><item><title>Manage service accounts at the project-level</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/projects/manage-service-accounts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/projects/manage-service-accounts/</guid><description>Enable service accounts for programmatic API access.</description></item><item><title>Manage storage</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/app/settings-page/storage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/app/settings-page/storage/</guid><description>Ways to manage W&amp;amp;B data storage.</description></item><item><title>Manage storage integrations</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/integrations/manage-storage-integrations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/integrations/manage-storage-integrations/</guid><description>Update and manage cloud storage integrations.</description></item><item><title>Manage sweeps</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/pause-resume-and-cancel-sweeps/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/pause-resume-and-cancel-sweeps/</guid><description>Pause, resume, and cancel a W&amp;amp;B Sweep with the CLI.</description></item><item><title>Manage Tool Context</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/manage-tool-context/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/manage-tool-context/</guid><description/></item><item><title>Manage user access in SSO organizations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/jit-invite-sso/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/jit-invite-sso/</guid><description/></item><item><title>Manage user settings</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/app/settings-page/user-settings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/app/settings-page/user-settings/</guid><description>Manage your profile information, account defaults, alerts, participation in beta products, GitHub integration, storage usage, account activation, and create teams in your user settings.</description></item><item><title>Manage users, groups, and roles with SCIM</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/scim/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/scim/</guid><description/></item><item><title>Manage Weave Projects</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/platform/weave-projects/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/platform/weave-projects/</guid><description>Use Weave projects to organize related assets like traces, prompts, evaluations, models, and dashboards.</description></item><item><title>Manage workspace, section, and panel settings</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/cascade-settings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/cascade-settings/</guid><description/></item><item><title>Manage your organization</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/access-management/manage-organization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/access-management/manage-organization/</guid><description/></item><item><title>Manage your organization using the API</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-organization-by-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/manage-organization-by-api/</guid><description/></item><item><title>Managing costs</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-costs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-costs/</guid><description>Learn how to monitor and optimize your costs when using the Realtime API.</description></item><item><title>Map columns in datasets</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/column-mapping/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/column-mapping/</guid><description>Map columns in datasets to different names. This helps you align the column names in your dataset with the column names expected by the scorer.</description></item><item><title>Markdown messages</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/markdown-messages/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/markdown-messages/</guid><description>Render LLM responses as rich, formatted markdown with proper streaming support</description></item><item><title>Markdown messages</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/markdown-messages/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/markdown-messages/</guid><description>Render LLM responses as rich, formatted markdown with proper streaming support</description></item><item><title>Markdown Page</title><link>https://learn-ai.blindshot.kz/docs/deepseek/markdown-page/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/markdown-page/</guid><description/></item><item><title>Marketplace</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/marketplace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/marketplace/</guid><description>Discover, install, and govern reusable assets for your enterprise crews.</description></item><item><title>Mastering Flow State Management</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/flows/mastering-flow-state/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/flows/mastering-flow-state/</guid><description>A comprehensive guide to managing, persisting, and leveraging state in CrewAI Flows for building robust AI applications.</description></item><item><title>Matillion</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/matillion/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/matillion/</guid><description/></item><item><title>Maxim Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/maxim/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/maxim/</guid><description>Start Agent monitoring, evaluation, and observability</description></item><item><title>Mcp</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/mcp/</guid><description>&lt;p&gt;MCP integration is what makes the Agent SDK extensible beyond its built-in capabilities, letting your agents connect to any MCP-compatible tool server including databases, APIs, file systems, and custom services. Focus on how the SDK discovers and registers MCP tools at agent initialization, since this determines what capabilities your agent advertises during the agentic loop. A key gotcha is that MCP server connection lifecycle must be managed carefully &amp;ndash; servers that fail to start will silently remove tools from your agent&amp;rsquo;s available set. If you are already familiar with MCP from the protocol specification, this guide shows the practical integration points within the SDK&amp;rsquo;s agent framework.&lt;/p&gt;</description></item><item><title>MCP</title><link>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/mcp/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/mcp/_overview/</guid><description/></item><item><title>MCP</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/mcp/</guid><description>MCP is an open standard protocol for seamless AI model integration with data sources and tools</description></item><item><title>Mcp Connector</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/mcp-connector/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/mcp-connector/</guid><description>&lt;p&gt;The MCP Connector is the primary mechanism for giving Claude direct access to external tools and data sources through the Model Context Protocol within API calls. Focus on how connector configuration differs from local MCP server setup — the connector handles transport, authentication, and tool discovery on Anthropic&amp;rsquo;s infrastructure rather than your own. A common pitfall is neglecting to scope tool permissions tightly, which can lead to unexpected token consumption when Claude explores available tools. Read this alongside the remote MCP servers guide to understand the full picture of hosted versus self-managed MCP integrations.&lt;/p&gt;</description></item><item><title>MCP DSL Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/dsl-integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/dsl-integration/</guid><description>Learn how to use CrewAI&amp;rsquo;s simple DSL syntax to integrate MCP servers directly with your agents using the mcps field.</description></item><item><title>MCP endpoint in Agent Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/server-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/server-mcp/</guid><description/></item><item><title>MCP Registry Aggregators</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/registry-aggregators/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/registry-aggregators/</guid><description/></item><item><title>MCP Registry Supported Package Types</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/package-types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/package-types/</guid><description>&lt;p&gt;The MCP registry supports multiple package types and choosing the wrong one constrains how clients can discover and install your server. Understanding the distinction between npm packages, Docker images, and other supported formats is critical before you publish, because changing package type after initial publication creates migration headaches for existing consumers. Focus on the compatibility matrix between package types and host applications, since not every MCP client supports every format equally well.&lt;/p&gt;</description></item><item><title>MCP tools</title><link>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/mcp-tools/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/mcp-tools/_overview/</guid><description/></item><item><title>MCP Tools</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/mcp-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/mcp-tools/</guid><description>Load additional tools from MCP (Model Context Protocol) servers</description></item><item><title>MCP, A2A, and AG-UI</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/agentic-protocols/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/agentic-protocols/</guid><description>Understanding how AG-UI complements and works with MCP and A2A</description></item><item><title>MDX RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/mdxsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/mdxsearchtool/</guid><description>The &amp;lsquo;MDXSearchTool&amp;rsquo; is designed to search MDX files and return the most relevant results.</description></item><item><title>Media panels</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/media/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/media/</guid><description/></item><item><title>Mem0</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/mem0/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/mem0/</guid><description/></item><item><title>Memory</title><link>https://learn-ai.blindshot.kz/docs/google/adk/sessions/memory/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/sessions/memory/_overview/</guid><description/></item><item><title>Memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/memory/</guid><description>Add persistent memory to agents built with Deep Agents so they learn and improve across conversations</description></item><item><title>Memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/add-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/add-memory/</guid><description/></item><item><title>Memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/memory/</guid><description>Add persistent memory to agents built with Deep Agents so they learn and improve across conversations</description></item><item><title>Memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/add-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/add-memory/</guid><description>&lt;p&gt;Memory in LangGraph goes beyond simple conversation history to include persistent state checkpoints that survive across graph executions, which is essential for building agents that maintain context across sessions. Focus on the distinction between short-term message memory and long-term checkpoint-based state, as choosing the wrong persistence strategy leads to either excessive token consumption or lost context. The checkpointer abstraction is the key integration point, and you should understand how it interacts with graph state before selecting a storage backend. This guide pairs well with the streaming guide, since memory and streaming together determine how your agent behaves in real-time interactive scenarios.&lt;/p&gt;</description></item><item><title>Memory Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/memory-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/memory-tool/</guid><description>&lt;p&gt;The memory tool allows Claude to persist information across conversation sessions, enabling agents to maintain user preferences, project context, and learned patterns over time. This bridges the gap between stateless API calls and the continuity users expect from long-running assistant relationships. Focus on understanding what gets stored and how retrieval works, since overloading memory with low-value data degrades relevance of future recalls. Design your memory strategy around high-signal items like user corrections and workflow preferences rather than attempting to memorize entire conversation histories.&lt;/p&gt;</description></item><item><title>Merge Agent Handler Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/mergeagenthandlertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/mergeagenthandlertool/</guid><description>Enables CrewAI agents to securely access third-party integrations like Linear, GitHub, Slack, and more through Merge&amp;rsquo;s Agent Handler platform</description></item><item><title>Message queues</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/message-queues/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/message-queues/</guid><description>Queue multiple messages and manage them while the agent processes sequentially</description></item><item><title>Message queues</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/message-queues/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/message-queues/</guid><description>Queue multiple messages and manage them while the agent processes sequentially</description></item><item><title>Messages</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/messages/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/messages/</guid><description/></item><item><title>Messages</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/messages/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/messages/</guid><description/></item><item><title>Messages</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/messages/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/messages/</guid><description/></item><item><title>Messages and chat history</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/message-history/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/message-history/_overview/</guid><description/></item><item><title>Meta Events</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/meta-events/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/meta-events/</guid><description>Annotations and signals independent of agent runs</description></item><item><title>Metadata Filtering</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/querying-collections/metadata-filtering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/querying-collections/metadata-filtering/</guid><description>Learn how to filter query results by metadata in Chroma collections.</description></item><item><title>Metadata Parsing</title><link>https://learn-ai.blindshot.kz/docs/safetensors/main/metadata_parsing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/safetensors/main/metadata_parsing/</guid><description/></item><item><title>Metrics</title><link>https://learn-ai.blindshot.kz/docs/dspy/learn/evaluation/metrics/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/learn/evaluation/metrics/_overview/</guid><description>&lt;p&gt;In DSPy a metric is the objective function that drives both evaluation and optimization, so this page matters more than a typical reference — your metric definition directly shapes how teleprompters compile and improve a program. Pay close attention to the difference between simple answer-matching metrics and metrics that themselves call an LM to judge quality, since the latter adds cost and variance you have to control. A common pitfall is returning a bare boolean where an optimizer expects a float score. Read the evaluation overview first, then pair this with the optimizers documentation.&lt;/p&gt;</description></item><item><title>Metrics Answer Relevancy</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-answer-relevancy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-answer-relevancy/</guid><description/></item><item><title>Metrics Arena G Eval</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-arena-g-eval/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-arena-g-eval/</guid><description/></item><item><title>Metrics Argument Correctness</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-argument-correctness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-argument-correctness/</guid><description/></item><item><title>Metrics Bias</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-bias/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-bias/</guid><description/></item><item><title>Metrics Contextual Precision</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-contextual-precision/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-contextual-precision/</guid><description/></item><item><title>Metrics Contextual Recall</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-contextual-recall/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-contextual-recall/</guid><description/></item><item><title>Metrics Contextual Relevancy</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-contextual-relevancy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-contextual-relevancy/</guid><description/></item><item><title>Metrics Conversation Completeness</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-conversation-completeness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-conversation-completeness/</guid><description/></item><item><title>Metrics Conversational Dag</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-conversational-dag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-conversational-dag/</guid><description/></item><item><title>Metrics Conversational G Eval</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-conversational-g-eval/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-conversational-g-eval/</guid><description/></item><item><title>Metrics Custom</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-custom/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-custom/</guid><description/></item><item><title>Metrics Dag</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-dag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-dag/</guid><description/></item><item><title>Metrics Exact Match</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-exact-match/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-exact-match/</guid><description/></item><item><title>Metrics Faithfulness</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-faithfulness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-faithfulness/</guid><description/></item><item><title>Metrics Goal Accuracy</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-goal-accuracy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-goal-accuracy/</guid><description/></item><item><title>Metrics Hallucination</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-hallucination/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-hallucination/</guid><description/></item><item><title>Metrics Json Correctness</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-json-correctness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-json-correctness/</guid><description/></item><item><title>Metrics Knowledge Retention</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-knowledge-retention/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-knowledge-retention/</guid><description/></item><item><title>Metrics Llm Evals</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-llm-evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-llm-evals/</guid><description/></item><item><title>Metrics Mcp Task Completion</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-mcp-task-completion/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-mcp-task-completion/</guid><description/></item><item><title>Metrics Mcp Use</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-mcp-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-mcp-use/</guid><description/></item><item><title>Metrics Misuse</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-misuse/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-misuse/</guid><description/></item><item><title>Metrics Multi Turn Mcp Use</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-multi-turn-mcp-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-multi-turn-mcp-use/</guid><description/></item><item><title>Metrics Non Advice</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-non-advice/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-non-advice/</guid><description/></item><item><title>Metrics Pattern Match</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-pattern-match/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-pattern-match/</guid><description/></item><item><title>Metrics Pii Leakage</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-pii-leakage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-pii-leakage/</guid><description/></item><item><title>Metrics Plan Adherence</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-plan-adherence/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-plan-adherence/</guid><description/></item><item><title>Metrics Plan Quality</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-plan-quality/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-plan-quality/</guid><description/></item><item><title>Metrics Prompt Alignment</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-prompt-alignment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-prompt-alignment/</guid><description/></item><item><title>Metrics Ragas</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-ragas/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-ragas/</guid><description/></item><item><title>Metrics Role Adherence</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-role-adherence/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-role-adherence/</guid><description/></item><item><title>Metrics Role Violation</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-role-violation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-role-violation/</guid><description/></item><item><title>Metrics Step Efficiency</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-step-efficiency/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-step-efficiency/</guid><description/></item><item><title>Metrics Summarization</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-summarization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-summarization/</guid><description/></item><item><title>Metrics Task Completion</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-task-completion/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-task-completion/</guid><description/></item><item><title>Metrics Tool Correctness</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-tool-correctness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-tool-correctness/</guid><description/></item><item><title>Metrics Tool Use</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-tool-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-tool-use/</guid><description/></item><item><title>Metrics Topic Adherence</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-topic-adherence/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-topic-adherence/</guid><description/></item><item><title>Metrics Toxicity</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-toxicity/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-toxicity/</guid><description/></item><item><title>Metrics Turn Contextual Precision</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-turn-contextual-precision/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-turn-contextual-precision/</guid><description/></item><item><title>Metrics Turn Contextual Recall</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-turn-contextual-recall/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-turn-contextual-recall/</guid><description/></item><item><title>Metrics Turn Contextual Relevancy</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-turn-contextual-relevancy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-turn-contextual-relevancy/</guid><description/></item><item><title>Metrics Turn Faithfulness</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-turn-faithfulness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-turn-faithfulness/</guid><description/></item><item><title>Metrics Turn Relevancy</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-turn-relevancy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/metrics-turn-relevancy/</guid><description/></item><item><title>Microsoft Azure</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/azure/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/azure/</guid><description>Integrate Weave with Microsoft Azure OpenAI services</description></item><item><title>Microsoft Excel Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_excel/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_excel/</guid><description>Workbook and data management with Microsoft Excel integration for CrewAI.</description></item><item><title>Microsoft Foundry</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/azure-foundry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/azure-foundry/</guid><description>Deploy frontier open models inside your Azure subscription, billed through Azure.</description></item><item><title>Microsoft Marketplace</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/microsoft-marketplace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/microsoft-marketplace/</guid><description/></item><item><title>Microsoft OneDrive Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_onedrive/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_onedrive/</guid><description>File and folder management with Microsoft OneDrive integration for CrewAI.</description></item><item><title>Microsoft Outlook Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_outlook/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_outlook/</guid><description>Email, calendar, and contact management with Microsoft Outlook integration for CrewAI.</description></item><item><title>Microsoft SharePoint Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_sharepoint/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_sharepoint/</guid><description>Site, list, and document management with Microsoft SharePoint integration for CrewAI.</description></item><item><title>Microsoft Teams Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_teams/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_teams/</guid><description>Team collaboration and communication with Microsoft Teams integration for CrewAI.</description></item><item><title>Microsoft Teams Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/microsoft-teams-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/microsoft-teams-trigger/</guid><description>Kick off crews from Microsoft Teams chat activity</description></item><item><title>Microsoft Word Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_word/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_word/</guid><description>Document creation and management with Microsoft Word integration for CrewAI.</description></item><item><title>Middleware</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/middleware/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/middleware/</guid><description>Event stream transformation and filtering for AG-UI agents</description></item><item><title>Migrate a pod-based index to serverless</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/migrate-a-pod-based-index-to-serverless/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/migrate-a-pod-based-index-to-serverless/</guid><description>Migrate existing pod indexes to cost-effective serverless</description></item><item><title>Migrate from Agent Builder</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-builder/migrate-from-agent-builder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-builder/migrate-from-agent-builder/</guid><description>Learn how to export an Agent Builder workflow and continue with ChatGPT Workspace Agents or the Agents SDK.</description></item><item><title>Migrate from prompt objects</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompting/migrate-from-prompt-object/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompting/migrate-from-prompt-object/</guid><description>Learn how to migrate from reusable prompt objects to versioned prompts in your application code.</description></item><item><title>Migrate sessions</title><link>https://learn-ai.blindshot.kz/docs/google/adk/sessions/session/migrate/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/sessions/session/migrate/_overview/</guid><description/></item><item><title>Migrate to the Responses API</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/migrate-to-responses/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/migrate-to-responses/</guid><description/></item><item><title>Migrating Monolithic Prompts to Command A with RAG</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/migrating-prompts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/migrating-prompts/</guid><description>This page contains a discussion of how to automatically migrating monolothic prompts.</description></item><item><title>Migration from AutoGen</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/migration-from-autogen/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/migration-from-autogen/</guid><description>Migration guide from AutoGen to Microsoft Agent Framework: mapping AgentChat concepts, workflow migration, and new enterprise features.</description></item><item><title>Migration Guide</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/models/migration-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/models/migration-guide/</guid><description>&lt;p&gt;Model migrations between Claude generations often introduce subtle behavioral changes that break existing prompts, even when the new model is strictly more capable. This guide documents the specific differences you should test for when upgrading, including changes to output formatting, tool-use patterns, and response length tendencies. Focus on the recommended testing strategies before doing a production cutover, since regressions frequently appear in edge cases rather than typical inputs. If you rely heavily on structured output or function calling, test those paths first as schema adherence can shift between model versions.&lt;/p&gt;</description></item><item><title>Migration Guide</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/migration-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/migration-guide/</guid><description>&lt;p&gt;This migration guide is critical reading if you have existing agent code built on earlier Anthropic SDK patterns or third-party frameworks and want to move to the official Agent SDK. Focus on the mapping between old abstractions and new ones — particularly how tool definitions, conversation state management, and multi-turn loops translate. A common pitfall is assuming one-to-one correspondence between concepts; the Agent SDK introduces opinionated patterns around agent lifecycle and handoffs that may require rethinking your architecture rather than just swapping imports. Work through the migration incrementally, validating behavior at each step rather than attempting a full rewrite.&lt;/p&gt;</description></item><item><title>Migration Guide</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/migration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/migration/</guid><description>Migrate from legacy &amp;lsquo;query()&amp;rsquo; and &amp;lsquo;get()&amp;rsquo; to the Search API.</description></item><item><title>Migration to Agent Framework</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/migration-to-agent-framework/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/migration-to-agent-framework/</guid><description>Migration guide from AutoGen to Microsoft Agent Framework: mapping AgentChat concepts to the unified framework.</description></item><item><title>Milvus and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/milvus-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/milvus-and-cohere/</guid><description>This page describes integrating Cohere with the Milvus vector database.</description></item><item><title>MiniLLM Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/minillm_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/minillm_trainer/</guid><description/></item><item><title>Minimize latencies</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/minimize-latencies/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/minimize-latencies/</guid><description/></item><item><title>Mirror images for your LangSmith installation</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-mirroring-images/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-mirroring-images/</guid><description/></item><item><title>Miscellaneous</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/miscellaneous/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/miscellaneous/</guid><description/></item><item><title>Mistral</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/mistral/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/mistral/</guid><description/></item><item><title>Mistral</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/mistral/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/mistral/_overview/</guid><description/></item><item><title>Mistral</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/mistral/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/mistral/_overview/</guid><description/></item><item><title>MistralAI</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/mistral/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/mistral/</guid><description>Track and monitor MistralAI model calls with Weave&amp;rsquo;s automatic tracing, capturing chat completions, function calling, and model interactions for open-weight and commercial Mistral models.</description></item><item><title>Mitigate Jailbreaks</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/mitigate-jailbreaks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/mitigate-jailbreaks/</guid><description>&lt;p&gt;Jailbreak mitigation is essential for any production deployment where Claude interacts with untrusted user input. This guide covers defense-in-depth strategies including system prompt hardening, input validation, and output filtering. A common pitfall is relying solely on system prompt instructions for safety &amp;ndash; attackers routinely bypass single-layer defenses, so layering multiple techniques is critical. Read this alongside the harmlessness screens documentation to understand how Anthropic&amp;rsquo;s built-in protections complement your application-level guardrails.&lt;/p&gt;</description></item><item><title>Mixed adapter types</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/mixed_models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/mixed_models/</guid><description/></item><item><title>MLflow Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/mlflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/mlflow/</guid><description>Quickly start monitoring your Agents with MLflow.</description></item><item><title>MLOps &amp; Observability</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/mlops-observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/mlops-observability/</guid><description>Track and monitor your Fireworks AI deployments with leading MLOps and observability platforms</description></item><item><title>Model configuration</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/model-config/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/model-config/</guid><description>Learn about the Claude Code model configuration, including model aliases like opusplan.</description></item><item><title>Model Context Protocol</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/mcp/</guid><description>Connect MCP servers so agents can request external data or actions through standardized tool APIs.</description></item><item><title>Model Context Protocol (MCP)</title><link>https://learn-ai.blindshot.kz/docs/google/adk/mcp/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/mcp/_overview/</guid><description/></item><item><title>Model Context Protocol (MCP)</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/mcp/</guid><description/></item><item><title>Model Context Protocol (MCP)</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/mcp/</guid><description>&lt;p&gt;LangChain&amp;rsquo;s MCP integration allows you to expose MCP servers as LangChain tools, bridging two of the most important ecosystems in the AI tooling space. This is particularly valuable if you have existing MCP servers and want to use them within LangChain agents or LangGraph workflows without rewriting tool definitions. Focus on how MCP tool schemas map to LangChain&amp;rsquo;s tool interface and what metadata is preserved or lost in translation. Be aware that MCP&amp;rsquo;s streaming and sampling capabilities may not map perfectly to LangChain&amp;rsquo;s tool abstraction, so test complex MCP servers thoroughly after integration.&lt;/p&gt;</description></item><item><title>Model Context Protocol (MCP) and Weave</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/mcp/</guid><description>Trace activity between your MCP client and MCP server with Weave</description></item><item><title>Model Deprecations</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/model-deprecations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/model-deprecations/</guid><description/></item><item><title>Model merging</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/model_merging/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/model_merging/</guid><description/></item><item><title>Model optimization</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/model-optimization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/model-optimization/</guid><description>Ensure quality model outputs with evals and fine-tuning in the OpenAI platform.</description></item><item><title>Model providers</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/playground-model-providers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/playground-model-providers/</guid><description/></item><item><title>Model selection</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/model-selection/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/model-selection/</guid><description>How to choose the right OpenAI model by balancing accuracy, latency, and cost — the fundamental tradeoff triangle for every AI application.</description></item><item><title>Model Vault</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/model-vault/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/model-vault/</guid><description>This document provides a guide for using Cohere&amp;rsquo;s new Model Vault functionality.</description></item><item><title>Models</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/models/</guid><description/></item><item><title>Models</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/models/</guid><description/></item><item><title>Models</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/models/</guid><description/></item><item><title>Models</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/models/</guid><description/></item><item><title>Models</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/models/</guid><description/></item><item><title>Moderation</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/moderation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/moderation/</guid><description>Mistral&amp;rsquo;s moderation API detects harmful content across multiple categories using AI-powered classification for text and conversations</description></item><item><title>Moderation</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/moderation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/moderation/</guid><description>OpenAI&amp;rsquo;s free moderation endpoint for detecting harmful content across categories like hate, violence, self-harm, and sexual content in both text and images.</description></item><item><title>Modify Prompts</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/metrics/modifying-prompts-metrics/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/metrics/modifying-prompts-metrics/_overview/</guid><description/></item><item><title>Modifying System Prompts</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/modifying-system-prompts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/modifying-system-prompts/</guid><description>&lt;p&gt;System prompt modification in the Agent SDK controls how you customize agent behavior, persona, and constraints without forking the SDK&amp;rsquo;s default prompt scaffolding. Focus on the merge strategy — the SDK combines your custom instructions with its own internal prompts, and understanding this layering prevents conflicts where your instructions get overridden or diluted. A critical pitfall is inadvertently removing safety-relevant default instructions when overriding the system prompt wholesale rather than appending to it. Start with targeted modifications using the provided extension points before considering full prompt replacement.&lt;/p&gt;</description></item><item><title>Modules</title><link>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/modules/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/modules/_overview/</guid><description/></item><item><title>MongoDB and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/mongodb-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/mongodb-and-cohere/</guid><description>Build semantic search and RAG systems using Cohere and MongoDB Atlas Vector Search.</description></item><item><title>MongoDB Vector Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/mongodbvectorsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/mongodbvectorsearchtool/</guid><description>The &amp;lsquo;MongoDBVectorSearchTool&amp;rsquo; performs vector search on MongoDB Atlas with optional indexing helpers.</description></item><item><title>Monitor and troubleshoot bulk exports</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-export-monitor/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/data-export-monitor/</guid><description>Monitor bulk export status, manage running exports, and troubleshoot failures.</description></item><item><title>Monitor performance</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/monitoring/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/monitoring/</guid><description>Monitor performance metrics in the Pinecone console or with Prometheus or Datadog.</description></item><item><title>Monitor projects with dashboards</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/dashboards/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/dashboards/</guid><description/></item><item><title>Monitor Training</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/monitor-training/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/monitor-training/</guid><description>Track RFT job progress and diagnose issues in real-time</description></item><item><title>Monitor usage and cost</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/monitor-spend-and-usage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/monitor-spend-and-usage/</guid><description>Set monthly spend alerts and monitor usage across your organization.</description></item><item><title>Monitor usage and costs</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-cost/monitor-usage-and-costs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-cost/monitor-usage-and-costs/</guid><description>Monitor usage and costs for your Pinecone organization and indexes.</description></item><item><title>Monitoring</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/monitoring-usage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/monitoring-usage/</guid><description>Learn how to enable and configure OpenTelemetry for Claude Code.</description></item><item><title>Monorepo support</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/monorepo-support/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/monorepo-support/</guid><description/></item><item><title>Morph</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/morph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/morph/</guid><description/></item><item><title>Move a run to a different project or team</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/manage-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/manage-runs/</guid><description>Move runs between projects or teams using the W&amp;amp;B App.</description></item><item><title>Moving from LangGraph to CrewAI: A Practical Guide for Engineers</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/migration/migrating-from-langgraph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/migration/migrating-from-langgraph/</guid><description>If you already have built with LangGraph, learn how to quickly port your projects to CrewAI</description></item><item><title>Multi Round Chat</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/multi_round_chat/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/multi_round_chat/</guid><description/></item><item><title>Multi-agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/_overview/</guid><description/></item><item><title>Multi-agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/_overview/</guid><description/></item><item><title>Multi-Agent Patterns</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/multi-agent-applications/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/multi-agent-applications/_overview/</guid><description/></item><item><title>Multi-modal Messages</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/multimodal-messages/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/multimodal-messages/</guid><description>Support for multimodal input messages including text, images, audio, video, and documents</description></item><item><title>Multi-Step Tool Use with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/basic-multi-step/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/basic-multi-step/</guid><description>This page describes how to create a multi-step, tool-using AI agent with Cohere&amp;rsquo;s tool use functionality.</description></item><item><title>Multi-tenant Cloud</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/multi_tenant_cloud/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/multi_tenant_cloud/</guid><description>Deploy Multi-tenant Cloud in production</description></item><item><title>Multilingual Support</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/multilingual-support/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/multilingual-support/</guid><description/></item><item><title>Multimodal context for assistants</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/multimodal/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/multimodal/</guid><description>Process images and charts in PDFs with multimodal assistants.</description></item><item><title>Multimodal Embeddings</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/embeddings/multimodal/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/embeddings/multimodal/</guid><description>Learn how to work with multimodal data in Chroma collections.</description></item><item><title>Multimodal Metrics Image Coherence</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/multimodal-metrics-image-coherence/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/multimodal-metrics-image-coherence/</guid><description/></item><item><title>Multimodal Metrics Image Editing</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/multimodal-metrics-image-editing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/multimodal-metrics-image-editing/</guid><description/></item><item><title>Multimodal Metrics Image Helpfulness</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/multimodal-metrics-image-helpfulness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/multimodal-metrics-image-helpfulness/</guid><description/></item><item><title>Multimodal Metrics Text To Image</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/multimodal-metrics-text-to-image/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/multimodal-metrics-text-to-image/</guid><description/></item><item><title>MultiOn Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/multiontool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/multiontool/</guid><description>The &amp;lsquo;MultiOnTool&amp;rsquo; empowers CrewAI agents with the capability to navigate and interact with the web through natural language instructions.</description></item><item><title>Multiple API Keys</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/multiple-api-keys/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/multiple-api-keys/</guid><description/></item><item><title>MySQL RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/mysqltool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/mysqltool/</guid><description>The &amp;lsquo;MySQLSearchTool&amp;rsquo; is designed to search MySQL databases and return the most relevant results.</description></item><item><title>n8n</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/n8n/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/n8n/</guid><description>n8n is a workflow automation platform offering technical teams code-level flexibility at no-code speed.</description></item><item><title>Nash-MD Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/nash_md_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/nash_md_trainer/</guid><description/></item><item><title>Navigate the Weave Trace view</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-tree/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-tree/</guid><description>Use Weave&amp;rsquo;s Trace view to make sense of complex execution paths in your LLM and agentic apps.</description></item><item><title>Neatlogs Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/neatlogs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/neatlogs/</guid><description>Understand, debug, and share your CrewAI agent runs</description></item><item><title>NeMo Gym Integration</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/nemo_gym/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/nemo_gym/</guid><description/></item><item><title>New Relic</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/new-relic/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/new-relic/</guid><description/></item><item><title>News0725</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news0725/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news0725/</guid><description/></item><item><title>News0802</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news0802/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news0802/</guid><description/></item><item><title>News0905</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news0905/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news0905/</guid><description/></item><item><title>News1120</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news1120/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news1120/</guid><description/></item><item><title>News1210</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news1210/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news1210/</guid><description/></item><item><title>News1226</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news1226/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news1226/</guid><description/></item><item><title>News250115</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news250115/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news250115/</guid><description/></item><item><title>News250120</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news250120/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news250120/</guid><description/></item><item><title>News250325</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news250325/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news250325/</guid><description/></item><item><title>News250528</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news250528/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news250528/</guid><description/></item><item><title>News250821</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news250821/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news250821/</guid><description/></item><item><title>News250922</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news250922/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news250922/</guid><description/></item><item><title>News250929</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news250929/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news250929/</guid><description/></item><item><title>News251201</title><link>https://learn-ai.blindshot.kz/docs/deepseek/news/news251201/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/news/news251201/</guid><description/></item><item><title>Nexla</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/nexla/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/nexla/</guid><description/></item><item><title>NL2SQL Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/nl2sqltool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/nl2sqltool/</guid><description>The &amp;lsquo;NL2SQLTool&amp;rsquo; is designed to convert natural language to SQL queries.</description></item><item><title>Node.js Troubleshooting</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/nodejs-troubleshooting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/nodejs-troubleshooting/</guid><description/></item><item><title>Nomic</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/nomic/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/nomic/</guid><description/></item><item><title>Non-English Testset Generation</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/_language_adaptation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/_language_adaptation/_overview/</guid><description/></item><item><title>Notion Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/notion/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/notion/</guid><description>User management and commenting with Notion integration for CrewAI.</description></item><item><title>Nuclia</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/nuclia/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/nuclia/</guid><description/></item><item><title>null</title><link>https://learn-ai.blindshot.kz/docs/langchain/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/_overview/</guid><description/></item><item><title>null</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/local_models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/local_models/</guid><description/></item><item><title>NVIDIA NIM</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/nvidia_nim/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/nvidia_nim/</guid><description>Use Weave to trace and log LLM calls made via the ChatNVIDIA library</description></item><item><title>OAuth Client Credentials</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/auth/oauth-client-credentials/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/auth/oauth-client-credentials/</guid><description>Machine-to-machine authentication for MCP using the OAuth 2.0 client credentials flow</description></item><item><title>Observability</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/observability/</guid><description>Monitor and trace your Chroma deployment with OpenTelemetry.</description></item><item><title>Observability</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/observability/</guid><description>Observability for LLMs ensures visibility, debugging, and performance optimization across prototyping, testing, and production</description></item><item><title>Observability for agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/observability/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/observability/_overview/</guid><description/></item><item><title>Observability in Studio</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/observability-studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/observability-studio/</guid><description/></item><item><title>OCI Gen AI</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/oci_genai/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/oci_genai/_overview/</guid><description/></item><item><title>OCR Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/ocrtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/ocrtool/</guid><description>The &amp;lsquo;OCRTool&amp;rsquo; extracts text from local images or image URLs using an LLM with vision.</description></item><item><title>OctoAI</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/octoai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/octoai/</guid><description/></item><item><title>Official MCP Registry Terms of Service</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/terms-of-service/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/terms-of-service/</guid><description/></item><item><title>Ollama</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/ollama/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/ollama/</guid><description/></item><item><title>Ollama</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/ollama/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/ollama/_overview/</guid><description/></item><item><title>Ollama</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/ollama/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/ollama/_overview/</guid><description/></item><item><title>OneDrive Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/onedrive-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/onedrive-trigger/</guid><description>Automate responses to OneDrive file activity</description></item><item><title>Online DPO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/online_dpo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/online_dpo_trainer/</guid><description/></item><item><title>Online Evaluation</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/online-evaluation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/online-evaluation/_overview/</guid><description/></item><item><title>Open Search and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/opensearch-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/opensearch-and-cohere/</guid><description>Unlock the power of search and analytics with OpenSearch, enhanced by ML connectors like Cohere and Amazon Bedrock.</description></item><item><title>Open Source</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/open-source/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/open-source/</guid><description>Explore Weave&amp;rsquo;s open source resources and contribute to the project</description></item><item><title>Open Telemetry Logs</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/capture_telemetry_logs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/capture_telemetry_logs/</guid><description>Understand how to capture telemetry logs from your CrewAI AMP deployments</description></item><item><title>OpenAI</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/openai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/openai/</guid><description/></item><item><title>OpenAI</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/openai/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/openai/_overview/</guid><description/></item><item><title>OpenAI</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/openai/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/openai/_overview/</guid><description/></item><item><title>OpenAI</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/openai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/openai/</guid><description>Integrate OpenAI with Weave for tracing, evaluation, and monitoring</description></item><item><title>OpenAI Agents SDK</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/openai_agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/openai_agents/</guid><description>Use W&amp;amp;B Weave with the OpenAI Agents SDK to track and monitor your agentic applications</description></item><item><title>OpenAI API</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/openai-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/openai-api/</guid><description>How to use W&amp;amp;B with the OpenAI API.</description></item><item><title>OpenAI CLI</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/libraries/openai-cli/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/libraries/openai-cli/</guid><description>Install and use the generated openai command-line tool for Responses, structured outputs, images, speech, and shell workflows.</description></item><item><title>OpenAI compatibility</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/tools-sdks/openai-compatibility/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/tools-sdks/openai-compatibility/</guid><description/></item><item><title>OpenAI Compatibility</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/openai-api-compatibility/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/openai-api-compatibility/</guid><description>Together&amp;rsquo;s API is compatible with OpenAI&amp;rsquo;s libraries, making it easy to try out our open-source models on existing applications.</description></item><item><title>OpenAI Fine-Tuning</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/openai-fine-tuning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/openai-fine-tuning/</guid><description>How to Fine-Tune OpenAI models using W&amp;amp;B.</description></item><item><title>OpenAI Gym</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/openai-gym/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/openai-gym/</guid><description>How to integrate W&amp;amp;B with OpenAI Gym.</description></item><item><title>OpenAI models in Amazon Bedrock</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/amazon-bedrock/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/amazon-bedrock/</guid><description>Learn how Amazon Bedrock availability differs from the OpenAI API, including supported capabilities, AWS-managed controls, and pricing considerations.</description></item><item><title>OpenAI Realtime API</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/openai-realtime-audio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/openai-realtime-audio/</guid><description>Use Weave to automatically trace your calls to the OpenAI Realtime API.</description></item><item><title>OpenAI Responses</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/openai-responses/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/openai-responses/_overview/</guid><description/></item><item><title>Openai Sdk</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/openai-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/openai-sdk/</guid><description/></item><item><title>openapi</title><link>https://learn-ai.blindshot.kz/docs/chroma/openapi/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/openapi/</guid><description/></item><item><title>openapi</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/openapi/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/openapi/</guid><description/></item><item><title>openapi</title><link>https://learn-ai.blindshot.kz/docs/langchain/openapi/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/openapi/</guid><description/></item><item><title>openapi</title><link>https://learn-ai.blindshot.kz/docs/together-ai/openapi/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/openapi/</guid><description/></item><item><title>OpenAPI JSON</title><link>https://learn-ai.blindshot.kz/docs/cohere/openapi/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/openapi/</guid><description/></item><item><title>OpenAPI tools</title><link>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/openapi-tools/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/openapi-tools/_overview/</guid><description/></item><item><title>OpenCLIP</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/open-clip/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/open-clip/</guid><description/></item><item><title>OpenEnv Integration for Training LLMs with Environments</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/openenv/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/openenv/</guid><description/></item><item><title>Openlayer</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_openlayer/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_openlayer/_overview/</guid><description/></item><item><title>OpenLIT</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/openlit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/openlit/</guid><description/></item><item><title>OpenLIT Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/openlit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/openlit/</guid><description>Quickly start monitoring your Agents in just a single line of code with OpenTelemetry.</description></item><item><title>OpenLLMetry</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/openllmetry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/openllmetry/</guid><description/></item><item><title>OpenReward Integration for Training LLMs with Environments</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/openreward/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/openreward/</guid><description/></item><item><title>OpenRouter</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/openrouter/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/openrouter/_overview/</guid><description/></item><item><title>OpenRouter</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/openrouter/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/openrouter/_overview/</guid><description/></item><item><title>OpenRouter</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/openrouter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/openrouter/</guid><description>Use OpenRouter&amp;rsquo;s unified interface for many LLMs with automatic Weave integration</description></item><item><title>Opik Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/opik/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/opik/</guid><description>Learn how to use Comet Opik to debug, evaluate, and monitor your CrewAI applications with comprehensive tracing, automated evaluations, and production-ready dashboards.</description></item><item><title>Optimize a classifier</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/optimize-classifier/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/optimize-classifier/</guid><description/></item><item><title>Optimize your terminal setup</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/terminal-config/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/terminal-config/</guid><description>Claude Code works best when your terminal is properly configured. Follow these guidelines to optimize your experience.</description></item><item><title>Optimizers</title><link>https://learn-ai.blindshot.kz/docs/dspy/learn/optimization/optimizers/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/learn/optimization/optimizers/_overview/</guid><description/></item><item><title>Optimizing LLM Accuracy</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/optimizing-llm-accuracy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/optimizing-llm-accuracy/</guid><description>Learn strategies to enhance the accuracy of large language models using techniques like prompt engineering, retrieval-augmented generation, and fine-tuning.</description></item><item><title>Orchestrate teams of Claude Code sessions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/agent-teams/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/agent-teams/</guid><description>Coordinate multiple Claude Code instances working together as a team, with shared tasks, inter-agent messaging, and centralized management.</description></item><item><title>Orchestration and handoffs</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/orchestration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/orchestration/</guid><description>Learn how to orchestrate multiple agents with handoffs and agents-as-tools in the OpenAI Agents SDK.</description></item><item><title>Organizations</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/organizations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/organizations/</guid><description/></item><item><title>Organize runs</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/grouping/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/grouping/</guid><description>Organize your runs into groups and other properties.</description></item><item><title>Organize versions with tags</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/registry/organize-with-tags/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/registry/organize-with-tags/</guid><description>Use tags to organize collections or artifact versions within collections. You can add, remove, edit tags with the Python SDK or W&amp;amp;B App UI.</description></item><item><title>ORPO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/orpo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/orpo_trainer/</guid><description/></item><item><title>Outlines</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/outlines/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/outlines/_overview/</guid><description/></item><item><title>Outlook Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/outlook-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/outlook-trigger/</guid><description>Launch automations from Outlook emails and calendar updates</description></item><item><title>Output</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/output/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/output/_overview/</guid><description/></item><item><title>Output styles</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/output-styles/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/output-styles/</guid><description>Adapt Claude Code for uses beyond software engineering</description></item><item><title>Outscale</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/outscale/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/outscale/</guid><description>Deploy and query Mistral AI models on Outscale via managed VMs and REST APIs</description></item><item><title>Package Search MCP Server</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/package-search/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/package-search/mcp/</guid><description/></item><item><title>Package Search Registry</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/package-search/registry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/package-search/registry/</guid><description/></item><item><title>Pagination &amp; Field Selection</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/pagination-selection/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/pagination-selection/</guid><description>Control how many results to return and which fields to include in your search results.</description></item><item><title>Paper Index</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/paper_index/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/paper_index/</guid><description/></item><item><title>PAPO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/papo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/papo_trainer/</guid><description/></item><item><title>Parallel agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/parallel-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/parallel-agents/_overview/</guid><description/></item><item><title>Parallel coordinates</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/parallel-coordinates/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/parallel-coordinates/</guid><description>Compare results across machine learning experiments</description></item><item><title>Parallel Execution</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/graph/beta/parallel/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/graph/beta/parallel/_overview/</guid><description/></item><item><title>Parallel queries</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/parallel-queries/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/parallel-queries/</guid><description/></item><item><title>Parallel Tool Use</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/parallel-tool-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/parallel-tool-use/</guid><description/></item><item><title>Parallel Workflow</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/parallel-workflows/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/parallel-workflows/</guid><description>Execute multiple LLM calls in parallel and aggregate afterwards.</description></item><item><title>Parallelize agents</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/parallelize-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/parallelize-agents/</guid><description>Parallelize W&amp;amp;B Sweep agents on multi-core or multi-GPU machine.</description></item><item><title>Parameter importance</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/parameter-importance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/parameter-importance/</guid><description>Visualize the relationships between your model&amp;rsquo;s hyperparameters and output metrics</description></item><item><title>Parameter Settings</title><link>https://learn-ai.blindshot.kz/docs/deepseek/quick_start/parameter_settings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/quick_start/parameter_settings/</guid><description/></item><item><title>Parameter Tuning</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/parameter-tuning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/parameter-tuning/</guid><description>Learn how training parameters affect model behavior and outcomes</description></item><item><title>Part 1. Intro to streaming</title><link>https://learn-ai.blindshot.kz/docs/google/adk/streaming/dev-guide/part1/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/streaming/dev-guide/part1/_overview/</guid><description/></item><item><title>Part 2. Sending messages</title><link>https://learn-ai.blindshot.kz/docs/google/adk/streaming/dev-guide/part2/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/streaming/dev-guide/part2/_overview/</guid><description/></item><item><title>Part 3. Event handling</title><link>https://learn-ai.blindshot.kz/docs/google/adk/streaming/dev-guide/part3/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/streaming/dev-guide/part3/_overview/</guid><description/></item><item><title>Part 4. Run configuration</title><link>https://learn-ai.blindshot.kz/docs/google/adk/streaming/dev-guide/part4/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/streaming/dev-guide/part4/_overview/</guid><description/></item><item><title>Part 5. Audio, Images, and Video</title><link>https://learn-ai.blindshot.kz/docs/google/adk/streaming/dev-guide/part5/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/streaming/dev-guide/part5/_overview/</guid><description/></item><item><title>Patch Assistant</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/patch-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/patch-assistant/</guid><description>Update an assistant.</description></item><item><title>Patch Thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/patch-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/patch-thread/</guid><description>Update a thread.</description></item><item><title>Patronus AI Evaluation</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/patronus-evaluation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/patronus-evaluation/</guid><description>Monitor and evaluate CrewAI agent performance using Patronus AI&amp;rsquo;s comprehensive evaluation platform for LLM outputs and agent behaviors.</description></item><item><title>Payment Methods &amp; Invoices</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/billing-payment-methods/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/billing-payment-methods/</guid><description>Managing payment cards, ACH transfers, viewing invoices, and updating billing details.</description></item><item><title>PDF Extractor with Native Multi Step Tool Use</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/pdf-extractor/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/pdf-extractor/</guid><description>This page describes how to create an AI agent able to extract information from PDFs.</description></item><item><title>PDF RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/pdfsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/pdfsearchtool/</guid><description>The &amp;lsquo;PDFSearchTool&amp;rsquo; is designed to search PDF files and return the most relevant results.</description></item><item><title>Pdf Support</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/pdf-support/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/pdf-support/</guid><description>&lt;p&gt;This is the reference for sending PDFs to Claude, and it matters because Claude processes both the extracted text and the rendered page images, letting it reason over tables, charts, and scanned layouts that plain text extraction would lose. Pay close attention to the page and size limits and to token accounting, since each page consumes both text and image tokens and costs add up fast. A common pitfall is assuming PDFs are as cheap as text. Compared with Mistral&amp;rsquo;s and OpenAI&amp;rsquo;s image inputs the differentiator is native multi-page document handling; read the token-counting page alongside this to estimate cost.&lt;/p&gt;</description></item><item><title>PEFT</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/_overview/</guid><description>&lt;p&gt;This is the entry point to PEFT and the right place to grasp why parameter-efficient fine-tuning matters: methods like LoRA train a small set of extra parameters instead of all of them, cutting compute and storage enough to fine-tune large models on consumer hardware. Focus on the menu of method families and on PEFT&amp;rsquo;s integration with Transformers, Diffusers, and Accelerate, which is what makes it practical. A common misconception is that PEFT sacrifices quality, when in practice it reaches performance comparable to full fine-tuning. Read the quicktour next, then the LoRA developer guide for the method you will actually reach for.&lt;/p&gt;</description></item><item><title>PEFT checkpoint format</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/checkpoint/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/checkpoint/</guid><description/></item><item><title>PEFT Integration</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/peft_integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/peft_integration/</guid><description/></item><item><title>Performance</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/performance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/performance/</guid><description>Single-node Chroma performance benchmarks and limitations.</description></item><item><title>Performance benchmarking</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/benchmarking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/benchmarking/</guid><description>Measure and optimize your deployment&amp;rsquo;s performance with load testing</description></item><item><title>Performing Tasks Sequentially with Cohere's RAG</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/performing-tasks-sequentially/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/performing-tasks-sequentially/</guid><description>Build an agentic RAG system that can handle user queries that require tasks to be performed in a sequence.</description></item><item><title>Permissions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/permissions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/permissions/</guid><description>&lt;p&gt;Permissions are critical for production deployments where agents interact with external systems or sensitive data. Focus on the least-privilege principle: grant only the capabilities an agent actually needs, and be especially careful with tool permissions that allow file system access or network calls. A common pitfall is developing with permissive settings and forgetting to lock them down before deployment, which can expose your system to prompt injection attacks that leverage overly broad tool access. Read this alongside the secure deployment guide for a complete security posture.&lt;/p&gt;</description></item><item><title>Perplexity</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/perplexity/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/perplexity/</guid><description/></item><item><title>Perplexity</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/perplexity/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/perplexity/_overview/</guid><description/></item><item><title>Persistence</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/persistence/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/persistence/</guid><description/></item><item><title>Persistence</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/persistence/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/persistence/</guid><description/></item><item><title>Persona Generation</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/_persona_generator/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/_persona_generator/_overview/</guid><description/></item><item><title>PG RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/pgsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/pgsearchtool/</guid><description>The &amp;lsquo;PGSearchTool&amp;rsquo; is designed to search PostgreSQL databases and return the most relevant results.</description></item><item><title>Philosophy</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/philosophy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/philosophy/</guid><description>LangChain exists to be the easiest place to start building with LLMs, while also being flexible and production-ready.</description></item><item><title>Philosophy</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/philosophy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/philosophy/</guid><description>LangChain exists to be the easiest place to start building with LLMs, while also being flexible and production-ready.</description></item><item><title>PII Redaction for Traces</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/pii-trace-redactions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/pii-trace-redactions/</guid><description>Automatically redact sensitive data from crew and flow execution traces</description></item><item><title>Pin and compare runs</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/compare-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/compare-runs/</guid><description>Learn how to use pinned and baseline runs to keep track of important runs and efficiently evaluate model experiments.</description></item><item><title>pinecone</title><link>https://learn-ai.blindshot.kz/docs/pinecone/pinecone/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/pinecone/</guid><description/></item><item><title>Pinecone and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/pinecone-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/pinecone-and-cohere/</guid><description>This page describes how to integrate Cohere with the Pinecone vector database.</description></item><item><title>Pinecone Support SLAs</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/pinecone-support-slas/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/pinecone-support-slas/</guid><description/></item><item><title>PineconeAttribute errors with LangChain</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/pinecone-attribute-errors-with-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/pinecone-attribute-errors-with-langchain/</guid><description/></item><item><title>Plan in the cloud with ultraplan</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/ultraplan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/ultraplan/</guid><description>Start a plan from your CLI, draft it on Claude Code on the web, then execute it remotely or back in your terminal</description></item><item><title>Platforms and integrations</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/platforms/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/platforms/</guid><description>Choose where to run Claude Code and what to connect it to. Compare the CLI, Desktop, VS Code, JetBrains, web, and integrations like Chrome, Slack, and CI/CD.</description></item><item><title>Playground</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/inference-web-interface/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/inference-web-interface/</guid><description>Guide to using Together AI&amp;rsquo;s web playground for interactive AI model inference across chat, image, video, audio, and transcribe models.</description></item><item><title>Plugins</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/plugins/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/plugins/</guid><description>&lt;p&gt;Plugins extend the Agent SDK&amp;rsquo;s core behavior by hooking into the agent lifecycle at well-defined extension points, enabling cross-cutting concerns like logging, rate limiting, and custom authentication without modifying agent logic directly. Focus on the plugin interface and the ordering guarantees for plugin execution — multiple plugins can compose, but execution order matters for plugins that modify requests or responses. A common mistake is putting business logic inside plugins rather than skills, which makes agents harder to test and reason about. Read this after understanding skills to appreciate the boundary between agent capabilities and infrastructure concerns.&lt;/p&gt;</description></item><item><title>Plugins</title><link>https://learn-ai.blindshot.kz/docs/google/adk/plugins/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/plugins/_overview/</guid><description/></item><item><title>Point aggregation</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/line-plot/sampling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/line-plot/sampling/</guid><description/></item><item><title>Portkey Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/portkey/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/portkey/</guid><description>How to use Portkey with CrewAI</description></item><item><title>Post-Training Toolkit Integration</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/ptt_integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/ptt_integration/</guid><description/></item><item><title>PPO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/ppo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/ppo_trainer/</guid><description/></item><item><title>Prebuilt middleware</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/middleware/built-in/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/middleware/built-in/</guid><description>Prebuilt middleware for common agent use cases</description></item><item><title>Prebuilt middleware</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/middleware/built-in/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/middleware/built-in/</guid><description>Prebuilt middleware for common agent use cases</description></item><item><title>Predicted outputs</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/predicted-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/predicted-outputs/</guid><description>Optimize response time by predefining predictable content for faster, efficient AI outputs.&amp;quot; (99 characters)</description></item><item><title>Predicted Outputs</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/predicted-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/predicted-outputs/</guid><description>Understand how to reduce latency for model responses where much of the response is known ahead of time.</description></item><item><title>Prefect</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/durable_execution/prefect/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/durable_execution/prefect/_overview/</guid><description/></item><item><title>Prefix</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/prefix/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/prefix/</guid><description>Prefixes enhance model responses by improving language adherence, saving tokens, enabling roleplay, and strengthening safeguards</description></item><item><title>Prepare for Deployment</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/prepare-for-deployment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/prepare-for-deployment/</guid><description>Ensure your Crew or Flow is ready for deployment to CrewAI AMP</description></item><item><title>Prerequisites</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/prerequisites/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/prerequisites/</guid><description>Set up your environment to use W&amp;amp;B Inference</description></item><item><title>Prerequisites</title><link>https://learn-ai.blindshot.kz/docs/wandb/training/prerequisites/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/training/prerequisites/</guid><description>Set up your environment to use W&amp;amp;B Training</description></item><item><title>Prevent logging of sensitive data in traces</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/mask-inputs-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/mask-inputs-outputs/</guid><description/></item><item><title>Price comparison vs Tinker</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/multi-turn-cost-comparison/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/multi-turn-cost-comparison/</guid><description>Estimate the cost of multi-turn agentic RL rollouts on Fireworks compared to Tinker&amp;rsquo;s per-token pricing</description></item><item><title>Pricing</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/pricing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/pricing/</guid><description>&lt;p&gt;Understanding AI pricing is critical for any build-vs-buy decision. Anthropic charges per token (roughly per word) with different rates for input and output, and prices vary dramatically between model tiers — Haiku can be 50x cheaper than Opus per token. The practical implication: a customer support chatbot handling 10,000 conversations per day might cost $50/month with Haiku or $2,500/month with Opus, so model selection directly impacts unit economics. Pay attention to prompt caching and batch API discounts, which can cut costs by 50-90% for predictable workloads. Compare these structures with OpenAI and Mistral pricing to understand the competitive landscape before committing to a provider.&lt;/p&gt;</description></item><item><title>Pricing</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/pricing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/pricing/</guid><description/></item><item><title>Pricing</title><link>https://learn-ai.blindshot.kz/docs/deepseek/quick_start/pricing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/quick_start/pricing/</guid><description/></item><item><title>Pricing</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/laplateforme/pricing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/laplateforme/pricing/</guid><description>Check the pricing page for detailed API cost information</description></item><item><title>Pricing</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/pricing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/pricing/</guid><description>Pricing information for the OpenAI platform.</description></item><item><title>Pricing</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-pricing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-pricing/</guid><description>Fine-tuning pricing at Together AI is based on the total number of tokens processed during your job.</description></item><item><title>Pricing and limits</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/pricing-and-limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/pricing-and-limits/</guid><description>Understand Pinecone Assistant pricing and service limits.</description></item><item><title>Pricing FAQ</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-pricing-faq/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-pricing-faq/</guid><description/></item><item><title>Pricing FAQ</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/pricing-faq/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/pricing-faq/</guid><description/></item><item><title>Pricing plans</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/pricing-plans/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/pricing-plans/</guid><description/></item><item><title>Priority processing</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/priority-processing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/priority-processing/</guid><description>Get faster processing in the API while retaining flexible pay-as-you-go pricing.</description></item><item><title>Private Deployment – Setting Up</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/private-deployment-setup/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/private-deployment-setup/</guid><description>This page describes the setup required for private deployments of Cohere&amp;rsquo;s models.</description></item><item><title>Private Deployment Usage</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/private-deployment-usage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/private-deployment-usage/</guid><description>This page describes how to use Cohere&amp;rsquo;s SDK to access privately deployed Cohere models.</description></item><item><title>Private Package Registries</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/private-package-registry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/private-package-registry/</guid><description>Install private Python packages from authenticated PyPI registries in CrewAI AMP</description></item><item><title>PRM Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/prm_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/prm_trainer/</guid><description/></item><item><title>Production best practices</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/production-best-practices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/production-best-practices/</guid><description>Explore best practices for transitioning your AI projects from prototype to production, including scaling, security, and cost management.</description></item><item><title>Production checklist</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/production-checklist/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/production/production-checklist/</guid><description>Prepare your indexes for production with best practices.</description></item><item><title>Production notes on GPT Actions</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/actions/production/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/actions/production/</guid><description>Guidelines for deploying GPT Actions in a production environment, including rate limits, timeouts, and security measures.</description></item><item><title>Profile Management</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/profile/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/profile/</guid><description>Manage CLI profiles for Chroma Cloud authentication.</description></item><item><title>Programmatic Tool Calling</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/programmatic-tool-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/programmatic-tool-calling/</guid><description>&lt;p&gt;Programmatic tool calling lets you force Claude to invoke a specific tool rather than deciding autonomously whether to use one, which is essential for deterministic agentic workflows where you need guaranteed structured output on every turn. This is particularly useful when building pipelines that must always extract data into a schema or always query an external system before responding. Be aware that forcing a tool call changes Claude&amp;rsquo;s behavior around the rest of the response &amp;ndash; it will not produce any text content before the forced tool invocation. Read the general tool-use guide first to understand the baseline calling conventions, then use this doc to layer in the deterministic control patterns.&lt;/p&gt;</description></item><item><title>Projects</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/projects/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/projects/</guid><description>Create isolated workspaces to organize resources, manage team access, and scope API keys</description></item><item><title>Projects</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/project-page/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/project-page/</guid><description>Compare versions of your model, explore results in a scratch workspace, and export findings to a report to save notes and visualizations</description></item><item><title>Prompt caching</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/prompt-caching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/prompt-caching/</guid><description/></item><item><title>Prompt caching</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-caching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-caching/</guid><description>Learn how prompt caching reduces latency and cost for long prompts in OpenAI&amp;rsquo;s API.</description></item><item><title>Prompt engineering</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/prompt-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/prompt-engineering/</guid><description/></item><item><title>Prompt engineering</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-engineering/</guid><description>Learn strategies and tactics for better results using large language models in the OpenAI API.</description></item><item><title>Prompt generation</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-generation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-generation/</guid><description>Learn how to generate prompts, functions, and schemas in the OpenAI API&amp;rsquo;s Playground.</description></item><item><title>Prompt guidance for GPT-5.4</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-guidance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-guidance/</guid><description>Learn prompt patterns and migration guidance for GPT-5.4, including completeness checks, verification loops, tool persistence, and structured outputs.</description></item><item><title>Prompt Optimization Copro</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/prompt-optimization-copro/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/prompt-optimization-copro/</guid><description/></item><item><title>Prompt Optimization Gepa</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/prompt-optimization-gepa/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/prompt-optimization-gepa/</guid><description/></item><item><title>Prompt Optimization Miprov2</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/prompt-optimization-miprov2/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/prompt-optimization-miprov2/</guid><description/></item><item><title>Prompt Optimization Simba</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/prompt-optimization-simba/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/prompt-optimization-simba/</guid><description/></item><item><title>Prompt optimizer</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-optimizer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-optimizer/</guid><description>Learn how to use your dataset to automatically improve your prompts.</description></item><item><title>Prompt template format guide</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/prompt-template-format/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/prompt-template-format/</guid><description/></item><item><title>Prompt-based methods</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/task_guides/prompt_based_methods/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/task_guides/prompt_based_methods/</guid><description/></item><item><title>Prompting capabilities</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/prompting-capabilities/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/prompting-capabilities/</guid><description>Learn effective prompting techniques for classification, summarization, personalization, and evaluation with Mistral models</description></item><item><title>Prompting DeepSeek R1</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/prompting-deepseek-r1/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/prompting-deepseek-r1/</guid><description>Prompt engineering for DeepSeek-R1.</description></item><item><title>Prompting Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/prompt-engineering/prompting-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/prompt-engineering/prompting-tools/</guid><description>&lt;p&gt;This guide is the definitive reference for writing effective tool definitions that Claude can invoke reliably. Focus on how parameter descriptions and tool descriptions influence Claude&amp;rsquo;s decision about when and how to call each tool &amp;ndash; vague descriptions lead to incorrect invocations or tool avoidance. A common mistake is defining too many tools in a single request, which degrades selection accuracy; the guide offers practical thresholds. If you are building agentic applications with Claude, read this before the broader tool use documentation, as well-crafted tool prompts are the foundation of reliable agent behavior.&lt;/p&gt;</description></item><item><title>Promptlibrary</title><link>https://learn-ai.blindshot.kz/docs/deepseek/promptlibrary/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/promptlibrary/</guid><description/></item><item><title>Prune Threads</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/prune-threads/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/prune-threads/</guid><description>Prune threads by ID. The &amp;lsquo;delete&amp;rsquo; strategy removes threads entirely. The &amp;lsquo;keep_latest&amp;rsquo; strategy prunes old checkpoints but keeps threads and their latest state.</description></item><item><title>Publish an integration</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/publish-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/publish-langchain/</guid><description/></item><item><title>Publish an integration</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/publish-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/publish-langchain/</guid><description/></item><item><title>Publish Custom Tools</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/tools/publish-custom-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/tools/publish-custom-tools/</guid><description>How to build, package, and publish your own CrewAI-compatible tools to PyPI so any CrewAI user can install and use them.</description></item><item><title>Publishing Remote Servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/remote-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/remote-servers/</guid><description>&lt;p&gt;Remote servers represent a significant architectural shift from the local stdio-based MCP servers most developers start with, enabling cloud-hosted tools accessible over HTTP with persistent sessions. This guide covers the specific requirements for publishing remote servers to the registry, including endpoint URL configuration and health check expectations. Watch for the distinction between the server&amp;rsquo;s transport URL and its registry metadata URL, as confusing the two is a frequent source of registration failures. Read this after the general registry overview if you plan to deploy MCP servers as hosted services rather than local processes.&lt;/p&gt;</description></item><item><title>Pulumi</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/pulumi/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/pulumi/</guid><description/></item><item><title>Push events into a running session with channels</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/channels/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/channels/</guid><description>Use channels to push messages, alerts, and webhooks into your Claude Code session from an MCP server. Forward CI results, chat messages, and monitoring events so Claude can react while you&amp;rsquo;re away.</description></item><item><title>Pydantic AI</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/_overview/</guid><description/></item><item><title>Pydantic AI Gateway</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/gateway/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/gateway/_overview/</guid><description/></item><item><title>PydanticAI</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/pydanticai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/pydanticai/</guid><description>Using PydanticAI with Together</description></item><item><title>PydanticAI</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/pydantic_ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/pydantic_ai/</guid><description>Trace PydanticAI agent and tool calls in Weave using OpenTelemetry</description></item><item><title>Python</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/python/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/python/</guid><description>&lt;p&gt;The Python SDK is the more mature of the two language implementations and tends to receive new features first. Pay close attention to the async patterns used throughout &amp;ndash; the SDK is built on asyncio, so understanding Python&amp;rsquo;s async/await model is a prerequisite for effective use. If you are coming from the raw Anthropic API client, note that the Agent SDK manages conversation state and tool execution loops for you, which is a significant shift in how you structure your code. Read the quickstart guide first if you have not already, then use this reference for Python-specific configuration details.&lt;/p&gt;</description></item><item><title>Python AttributeError: module pinecone has no attribute init</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/module-pinecone-has-no-attribute-init/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/module-pinecone-has-no-attribute-init/</guid><description/></item><item><title>Python Guide</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/python-a2a/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/python-a2a/</guid><description>Python implementation guide</description></item><item><title>Python Library</title><link>https://learn-ai.blindshot.kz/docs/together-ai/python-library/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/python-library/</guid><description/></item><item><title>Python SDK</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/tools-sdks/python-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/tools-sdks/python-sdk/</guid><description/></item><item><title>PyTorch</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/pytorch/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/pytorch/</guid><description/></item><item><title>PyTorch Geometric</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/pytorch-geometric/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/pytorch-geometric/</guid><description/></item><item><title>PyTorch Ignite</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/ignite/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/ignite/</guid><description>How to integrate W&amp;amp;B with PyTorch Ignite.</description></item><item><title>PyTorch Lightning</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/lightning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/lightning/</guid><description/></item><item><title>Pytorch torchtune</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/torchtune/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/torchtune/</guid><description/></item><item><title>Qdrant and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/qdrant-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/qdrant-and-cohere/</guid><description>This page describes how to integrate Cohere with the Qdrant vector database.</description></item><item><title>Qdrant Vector Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/qdrantvectorsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/qdrantvectorsearchtool/</guid><description>Semantic search capabilities for CrewAI agents using Qdrant vector database</description></item><item><title>Quantization</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/models/quantization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/models/quantization/</guid><description>Reduce model precision to improve performance and lower costs</description></item><item><title>Quantization</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/quantization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/quantization/</guid><description/></item><item><title>Query and export Calls</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/querying-calls/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/querying-calls/</guid><description>Filter, sort, and export Weave call data using the Python SDK, REST API, or the Weave UI for custom analysis.</description></item><item><title>Query and Get</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/querying-collections/query-and-get/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/querying-collections/query-and-get/</guid><description>Learn how to query and retrieve data from Chroma collections.</description></item><item><title>Query traces (SDK)</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/export-traces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/export-traces/</guid><description/></item><item><title>Querying Structured Data (SQL)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-sql/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-sql/</guid><description>Build an agentic RAG system that can query structured data (SQL).</description></item><item><title>Querying Structured Data (Tables)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-tables/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-tables/</guid><description>Build an agentic RAG system that can query structured data (tables).</description></item><item><title>Queue API</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/deployments-queue/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/deployments-queue/</guid><description>Submit, monitor, and manage asynchronous jobs for your Dedicated Container deployments.</description></item><item><title>Quicktour</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/quicktour/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/quicktour/</guid><description/></item><item><title>Quotas &amp; Limits</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/quotas-limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/quotas-limits/</guid><description/></item><item><title>R2R</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/r2r/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/r2r/_overview/</guid><description/></item><item><title>RAG Citations</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-citations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-citations/</guid><description>Guide on accessing and utilizing citations generated by the Cohere Chat endpoint for RAG. It covers both non-streaming and streaming modes (API v2).</description></item><item><title>RAG Evaluation</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/cli/rag_eval/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/cli/rag_eval/_overview/</guid><description/></item><item><title>RAG Integrations</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/embeddings-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/embeddings-rag/</guid><description/></item><item><title>RAG Streaming</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-streaming/</guid><description>Guide on implementing streaming for RAG with Cohere and details on the events stream (API v2).</description></item><item><title>RAG Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/ragtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/ragtool/</guid><description>The &amp;lsquo;RagTool&amp;rsquo; is a dynamic knowledge base tool for answering questions using Retrieval-Augmented Generation.</description></item><item><title>Ragas CLI</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/cli/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/cli/_overview/</guid><description/></item><item><title>Ranking and Scoring</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/ranking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/ranking/</guid><description>Learn how to use ranking expressions to score and order your search results. In Chroma, lower scores indicate better matches (distance-based scoring).</description></item><item><title>RapidFire AI Integration</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/rapidfire_integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/rapidfire_integration/</guid><description/></item><item><title>Rate Limit</title><link>https://learn-ai.blindshot.kz/docs/deepseek/quick_start/rate_limit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/quick_start/rate_limit/</guid><description/></item><item><title>Rate limits</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/dedicated-cloud/rate-limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/dedicated-cloud/rate-limits/</guid><description>Default rate limits on Dedicated Cloud and how to request changes</description></item><item><title>Rate limits</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/rate-limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/rate-limits/</guid><description>Optional rate limits on Self-Managed instances for stability</description></item><item><title>Rate Limits</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/rate-limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/rate-limits/</guid><description>&lt;p&gt;Understanding rate limits is essential before any production deployment, because hitting them surfaces as 429 errors that silently degrade user-facing latency if you have not built retry-with-backoff. Pay close attention to the distinction between requests-per-minute and tokens-per-minute limits and to the role of usage tiers, since you can be well under the request cap but blocked on tokens. The common mistake is testing at low volume and discovering the ceiling only under real load. Pair this with the batch-processing page, which moves bulk work off your interactive rate budget entirely.&lt;/p&gt;</description></item><item><title>React Component Export</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/react-component-export/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/react-component-export/</guid><description>Learn how to export and integrate CrewAI AMP React components into your applications</description></item><item><title>Realtime API</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime/</guid><description>Learn how to build low-latency, multimodal LLM applications with the Realtime API.</description></item><item><title>Realtime API with MCP</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-mcp/</guid><description>Learn how to configure MCP tools in the Realtime API and handle the resulting event flow.</description></item><item><title>Realtime API with SIP</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-sip/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-sip/</guid><description>Learn how to connect to the Realtime API using SIP.</description></item><item><title>Realtime API with WebRTC</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-webrtc/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-webrtc/</guid><description>Learn how to connect to the Realtime API using WebRTC.</description></item><item><title>Realtime API with WebSocket</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-websocket/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-websocket/</guid><description>Learn how to connect to the Realtime API using WebSocket in a server-to-server application.</description></item><item><title>Realtime conversations</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-conversations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-conversations/</guid><description>Learn how to manage Realtime speech-to-speech conversations.</description></item><item><title>Realtime guide</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/realtime/guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/realtime/guide/</guid><description>Deep dive into session lifecycle, event formats, and concurrency patterns.</description></item><item><title>Realtime transcription</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-transcription/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-transcription/</guid><description>Learn how to transcribe audio in real-time with the Realtime API.</description></item><item><title>Realtime translation</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-translation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-translation/</guid><description>Learn how to build live speech translation with Realtime translation sessions.</description></item><item><title>Realtime transport</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/realtime/transport/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/realtime/transport/</guid><description>Decide between the default server-side WebSocket path and SIP attach flows, with the browser WebRTC boundary called out explicitly.</description></item><item><title>Reasoning</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/reasoning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/reasoning/</guid><description>How to use reasoning with Fireworks models</description></item><item><title>Reasoning</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/reasoning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/reasoning/</guid><description>Reasoning models generate logical chains of thought to solve problems, improving accuracy with extra compute time.&amp;quot; (99 characters)</description></item><item><title>Reasoning best practices</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/reasoning-best-practices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/reasoning-best-practices/</guid><description>Best practices for using o-series reasoning models (o1, o3-mini) vs GPT models — covering use cases, model selection, and prompting strategies specific to reasoning models.</description></item><item><title>Reasoning Fine-tuning</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-reasoning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-reasoning/</guid><description>Learn how to fine-tune reasoning models with chain-of-thought data using Together AI.</description></item><item><title>Reasoning Models Guide</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/reasoning-models-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/reasoning-models-guide/</guid><description>How reasoning models like DeepSeek-R1 work.</description></item><item><title>Reasoning tokens</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/reasoning-tokens/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/reasoning-tokens/</guid><description>Display model thinking and reasoning processes in collapsible blocks</description></item><item><title>Reasoning tokens</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/reasoning-tokens/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/reasoning-tokens/</guid><description>Display model thinking and reasoning processes in collapsible blocks</description></item><item><title>Rebuild graph at runtime</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/graph-rebuild/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/graph-rebuild/</guid><description>Rebuild your graph with different configurations for each run using ServerRuntime.</description></item><item><title>Recommended Models</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/recommended-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/recommended-models/</guid><description>Find the right models for your use case</description></item><item><title>Red teaming</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/red-teaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/red-teaming/</guid><description>Learn how red teaming fits into AI evaluation, including Promptfoo open source and OpenAI Red Teaming for enterprise teams.</description></item><item><title>Redact PII from traces</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/redact-pii/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/redact-pii/</guid><description>Automatically redact Personally Identifiable Information from traces</description></item><item><title>Redis and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/redis-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/redis-and-cohere/</guid><description>Learn how to integrate Cohere with Redis for similarity searches on text data with this step-by-step guide.</description></item><item><title>Redpanda</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/redpanda/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/redpanda/</guid><description/></item><item><title>Reduce Hallucinations</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/reduce-hallucinations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/reduce-hallucinations/</guid><description>&lt;p&gt;Hallucination reduction is arguably the most impactful guardrail topic for practitioners building retrieval-augmented or factual applications with Claude. The guide covers grounding techniques such as providing source documents, instructing the model to quote directly, and asking it to flag uncertainty. A key gotcha is that simply telling Claude &amp;ldquo;don&amp;rsquo;t hallucinate&amp;rdquo; is far less effective than structuring prompts so the model can cite or decline &amp;ndash; give it an explicit escape hatch like &amp;ldquo;say I don&amp;rsquo;t know if the answer isn&amp;rsquo;t in the provided context.&amp;rdquo; Pair this with the evaluation techniques in the testing docs to measure hallucination rates systematically.&lt;/p&gt;</description></item><item><title>Reduce Latency</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/reduce-latency/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/reduce-latency/</guid><description>&lt;p&gt;Latency optimization directly impacts user experience and cost in production Claude deployments. This guide walks through techniques like prompt length reduction, streaming, model selection trade-offs, and caching strategies that can cut response times significantly. Start with the quick wins &amp;ndash; enabling streaming and trimming unnecessary context from prompts &amp;ndash; before moving to architectural changes like prompt caching. Be aware that some latency reduction techniques (such as using smaller models or shorter prompts) trade off against output quality, so always measure both metrics together.&lt;/p&gt;</description></item><item><title>Reduce Prompt Leak</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/reduce-prompt-leak/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/test-and-evaluate/strengthen-guardrails/reduce-prompt-leak/</guid><description>&lt;p&gt;Prompt leakage is one of the most common security concerns in production LLM applications, and this guide provides concrete techniques for preventing Claude from revealing system prompts to end users. Focus on the layered defense approach — no single technique is sufficient, so you need to combine prompt structure, output filtering, and behavioral instructions. A frequent mistake is relying solely on &amp;ldquo;do not reveal your instructions&amp;rdquo; directives, which are trivially bypassed by indirect extraction attacks. Read this alongside the general guardrails documentation to build a comprehensive safety posture before shipping user-facing agents.&lt;/p&gt;</description></item><item><title>Reducing Memory Usage</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/reducing_memory_usage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/reducing_memory_usage/</guid><description/></item><item><title>Regions</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/regions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/regions/</guid><description>Fireworks runs a global fleet of hardware on which you can deploy your models.</description></item><item><title>Regions FAQ</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/regions-faq/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/regions-faq/</guid><description/></item><item><title>Reinforcement fine-tuning</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/reinforcement-fine-tuning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/reinforcement-fine-tuning/</guid><description>Train models using reward-based signals for expert-level domain performance — going beyond supervised fine-tuning when you can grade quality but can&amp;rsquo;t easily provide gold outputs.</description></item><item><title>Reinforcement fine-tuning use cases</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/rft-use-cases/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/rft-use-cases/</guid><description>Practical use cases and best practices for reinforcement fine-tuning (RFT) — when graded rewards outperform simple input/output pairs for training signal.</description></item><item><title>Reject Concurrent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/reject-concurrent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/reject-concurrent/</guid><description/></item><item><title>Release notes</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/release/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/release/</guid><description>Track SDK changes, migration notes, and deprecations.</description></item><item><title>Release Notes</title><link>https://learn-ai.blindshot.kz/docs/wandb/release-notes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/release-notes/</guid><description/></item><item><title>Release policy</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/release-policy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/release-policy/</guid><description/></item><item><title>Release policy</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/release-policy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/release-policy/</guid><description/></item><item><title>Release versions</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/release-versions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/release-versions/</guid><description/></item><item><title>Reliability and Error Handling</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/reliability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/reliability/</guid><description>Recommended patterns for timeouts, retries, and error handling when building production applications on the Fireworks API.</description></item><item><title>Remote Environment Setup</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/connect-environments/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/connect-environments/</guid><description>Implement the /init endpoint to run evaluations in your infrastructure</description></item><item><title>Remote Mcp Servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/remote-mcp-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/remote-mcp-servers/</guid><description>&lt;p&gt;Remote MCP servers let you host tool endpoints that Claude connects to over the network, enabling shared infrastructure across teams and persistent service integrations. Pay close attention to the authentication and transport sections — remote servers use SSE or streamable HTTP rather than stdio, which changes how you handle connection lifecycle and error recovery. A frequent gotcha is failing to implement proper OAuth or token refresh flows, causing silent tool failures mid-conversation. This guide pairs well with the MCP Connector docs to compare Anthropic-hosted versus self-hosted approaches to serving tools.&lt;/p&gt;</description></item><item><title>Remote MCP servers</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-remote-mcp-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-remote-mcp-servers/</guid><description>Connect Agent Builder to popular remote MCP servers</description></item><item><title>Remote MCP servers</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/remote-mcp-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/remote-mcp-servers/</guid><description>Connect Fleet to popular remote MCP servers</description></item><item><title>RemoteGraph</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/remote-graph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/remote-graph/</guid><description/></item><item><title>Remove a metadata field from a record</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/remove-metadata-field/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/remove-metadata-field/</guid><description/></item><item><title>Replay Tasks from Latest Crew Kickoff</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/replay-tasks-from-latest-crew-kickoff/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/replay-tasks-from-latest-crew-kickoff/</guid><description>Replay tasks from the latest crew.kickoff(&amp;hellip;)</description></item><item><title>Report Evaluators</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/evaluators/report-evaluators/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/evaluators/report-evaluators/_overview/</guid><description/></item><item><title>Repository on GitHub</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/openai/openai-agents-python/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/openai/openai-agents-python/</guid><description>Source code, issues, and contribution guidelines for the SDK.</description></item><item><title>Reproduce experiments</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/reproduce_experiments/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/reproduce_experiments/</guid><description/></item><item><title>Rerank results</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/rerank-results/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/rerank-results/</guid><description>Improve the quality of results with reranking.</description></item><item><title>Reranking - Cohere on Azure AI Foundry</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-reranking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-reranking/</guid><description>A guide for performing reranking with Cohere&amp;rsquo;s Reranking models on Azure AI Foundry (API v2).</description></item><item><title>Reserved capacity</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/reservations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/reservations/</guid><description/></item><item><title>Responses API</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/response-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/response-api/</guid><description/></item><item><title>Restore a pod-based index</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/restore-a-pod-based-index/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/restore-a-pod-based-index/</guid><description>Restore pod-based indexes from collections</description></item><item><title>Restore an index</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/restore-an-index/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/restore-an-index/</guid><description>Restore serverless indexes from backup snapshots.</description></item><item><title>Restrictions on index names</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/restrictions-on-index-names/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/restrictions-on-index-names/</guid><description/></item><item><title>Results and state</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/results/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/results/</guid><description>Learn which result surfaces matter most in the OpenAI Agents SDK and how they connect to resumable workflow state.</description></item><item><title>Resume a run</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/resuming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/resuming/</guid><description>Resume a paused or exited W&amp;amp;B Run</description></item><item><title>Resume Agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/runtime/resume/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/runtime/resume/_overview/</guid><description/></item><item><title>Retrieval</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/retrieval/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/retrieval/</guid><description/></item><item><title>Retrieval</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/retrieval/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/retrieval/</guid><description>&lt;p&gt;LangChain&amp;rsquo;s retrieval guide covers the foundational abstractions for document loading, splitting, embedding, and querying that underpin every RAG application built on the framework. Understanding the Retriever interface is critical because it is the common contract that vector stores, BM25 indexes, and custom retrieval strategies all implement. Focus on how retrievers compose with chains and agents, since the retrieval step is often the performance bottleneck in production RAG pipelines. Read this before the RAG-specific guide to ensure you understand the building blocks before seeing them assembled into a full application.&lt;/p&gt;</description></item><item><title>Retrieval</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/retrieval/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/retrieval/</guid><description>Learn how to search your data using semantic similarity with the OpenAI API.</description></item><item><title>Retrieval Augmented Generation (RAG)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/retrieval-augmented-generation-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/retrieval-augmented-generation-rag/</guid><description>Guide on using Cohere&amp;rsquo;s Retrieval Augmented Generation (RAG) capabilities such as document grounding and citations.</description></item><item><title>Retrieval augmented generation (RAG) - Cohere on Azure AI Foundry</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-rag/</guid><description>A guide for performing retrieval augmented generation (RAG) with Cohere&amp;rsquo;s Command models on Azure AI Foundry (API v2).</description></item><item><title>Retrieve a single item.</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/retrieve-a-single-item/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/retrieve-a-single-item/</guid><description/></item><item><title>Retrieve context snippets</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/retrieve-context-snippets/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/retrieve-context-snippets/</guid><description>Access relevant context and citations from Pinecone Assistant.</description></item><item><title>Return all vectors in an index</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/return-all-vectors-in-an-index/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/return-all-vectors-in-an-index/</guid><description/></item><item><title>Review items in an annotation queue</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/annotation-review/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/annotation-review/</guid><description>Evaluate trace items and submit structured feedback using a simplified review interface.</description></item><item><title>Reward Functions</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/rewards/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/rewards/</guid><description/></item><item><title>Reward Modeling</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/reward_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/reward_trainer/</guid><description/></item><item><title>Rewind a run</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/rewind/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/rewind/</guid><description>Rewind a run to correct or modify its history without losing original data.</description></item><item><title>Rewind sessions</title><link>https://learn-ai.blindshot.kz/docs/google/adk/sessions/session/rewind/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/sessions/session/rewind/_overview/</guid><description/></item><item><title>RL Rollouts with Your Own Trainer</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/rl-rollout-integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/rl-rollout-integration/</guid><description>Integrate an external RL trainer with Fireworks inference: hot-load new checkpoints from your bucket and run rollouts via the OpenAI-compatible API.</description></item><item><title>RLOO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/rloo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/rloo_trainer/</guid><description/></item><item><title>Roadmap</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/development/roadmap/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/development/roadmap/</guid><description>Our plans for evolving Agent User Interaction Protocol</description></item><item><title>Roadmap</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/development/roadmap/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/development/roadmap/</guid><description>Our plans for evolving Model Context Protocol</description></item><item><title>Roboflow</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/roboflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/roboflow/</guid><description/></item><item><title>Role-based access control</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/rbac/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/rbac/</guid><description/></item><item><title>Role-Based Access Control (RBAC)</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/rbac/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/rbac/</guid><description>Control access to crews, tools, and data with roles, scopes, and granular permissions.</description></item><item><title>Roles &amp; Permissions (RBAC)</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/roles-permissions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/roles-permissions/</guid><description>Understand Organization and Project role-based access control (RBAC) including Admin and Member roles and what each can do across the Together platform</description></item><item><title>Rollback Concurrent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/rollback-concurrent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/rollback-concurrent/</guid><description/></item><item><title>Router</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/router/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/router/</guid><description/></item><item><title>Router</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/router/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/router/</guid><description/></item><item><title>Routers</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/routers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/deployments/routers/</guid><description>Distribute traffic across multiple deployments for A/B testing, traffic migration, and load distribution.</description></item><item><title>Routing Queries to Data Sources</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/routing-queries-to-data-sources/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/routing-queries-to-data-sources/</guid><description>Build an agentic RAG system that routes queries to the most relevant tools based on the query&amp;rsquo;s nature.</description></item><item><title>Run (span) data format</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-data-format/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-data-format/</guid><description/></item><item><title>Run a Chroma Server</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/run/</guid><description>Run a Chroma server locally using the CLI.</description></item><item><title>Run a LangGraph app locally</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/local-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/local-server/</guid><description/></item><item><title>Run a local server</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/local-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/local-server/</guid><description/></item><item><title>Run a local server</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/local-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/local-server/</guid><description/></item><item><title>Run an evaluation from the Playground</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-evaluation-from-playground/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-evaluation-from-playground/</guid><description/></item><item><title>Run an evaluation from the prompt playground</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-evaluation-from-prompt-playground/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-evaluation-from-prompt-playground/</guid><description/></item><item><title>Run an evaluation with multimodal content</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-with-attachments/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-with-attachments/</guid><description/></item><item><title>Run backtests on a new version of an agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-backtests-new-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-backtests-new-agent/</guid><description/></item><item><title>Run Claude Code programmatically</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/headless/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/headless/</guid><description>Use the Agent SDK to run Claude Code programmatically from the CLI, Python, or TypeScript.</description></item><item><title>Run Config</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/run_config/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/run_config/_overview/</guid><description/></item><item><title>Run prompts on a schedule</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/scheduled-tasks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/scheduled-tasks/</guid><description>Use /loop and the cron scheduling tools to run prompts repeatedly, poll for status, or set one-time reminders within a Claude Code session.</description></item><item><title>Run support queries against ClickHouse</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-running-ch-support-queries/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-running-ch-support-queries/</guid><description/></item><item><title>Run support queries against PostgreSQL</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-running-pg-support-queries/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/script-running-pg-support-queries/</guid><description/></item><item><title>Running agents</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/running_agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/running_agents/</guid><description>Learn synchronous, asynchronous, and batched execution, plus cancellation and error handling.</description></item><item><title>Running agents</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/running-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/running-agents/</guid><description>Learn how to run agents, stream output, and choose the right conversation-state strategy in the OpenAI Agents SDK.</description></item><item><title>Running Chroma in Client-Server Mode</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/client-server-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/deploy/client-server-mode/</guid><description/></item><item><title>Runtime</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/runtime/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/runtime/</guid><description/></item><item><title>Runtime</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/runtime/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/runtime/</guid><description/></item><item><title>Runtime Config</title><link>https://learn-ai.blindshot.kz/docs/google/adk/runtime/runconfig/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/runtime/runconfig/_overview/</guid><description/></item><item><title>S3 Reader Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/s3readertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/s3readertool/</guid><description>The &amp;lsquo;S3ReaderTool&amp;rsquo; enables CrewAI agents to read files from Amazon S3 buckets.</description></item><item><title>S3 Sync</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/sync/s3/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/sync/s3/</guid><description>Sync files from Amazon S3 into Chroma Cloud.</description></item><item><title>S3 Writer Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/s3writertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/s3writertool/</guid><description>The &amp;lsquo;S3WriterTool&amp;rsquo; enables CrewAI agents to write content to files in Amazon S3 buckets.</description></item><item><title>Safetensors</title><link>https://learn-ai.blindshot.kz/docs/safetensors/main/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/safetensors/main/_overview/</guid><description/></item><item><title>Safety and Security for AI Agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/safety/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/safety/_overview/</guid><description/></item><item><title>Safety best practices</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/safety-best-practices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/safety-best-practices/</guid><description>Comprehensive safety practices for responsible AI deployment — covering moderation, adversarial testing, human oversight, prompt engineering for safety, and production monitoring.</description></item><item><title>Safety in building agents</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-builder-safety/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-builder-safety/</guid><description>Minimize prompt injections and other risks in agent workflows — covering input validation, tool call authorization, and sandboxing strategies specific to agentic systems.</description></item><item><title>Safety Modes</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/safety-modes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/safety-modes/</guid><description>The safety modes documentation describes how to use default and strict modes in order to exercise additional control over model output.</description></item><item><title>Salesforce Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/salesforce/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/salesforce/</guid><description>CRM and sales automation with Salesforce integration for CrewAI.</description></item><item><title>Salesforce Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/salesforce-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/salesforce-trigger/</guid><description>Trigger CrewAI crews from Salesforce workflows for CRM automation</description></item><item><title>SambaNova</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/sambanova/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/sambanova/_overview/</guid><description/></item><item><title>Sample Apps</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/sample-apps/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/sample-apps/</guid><description>Install and run Chroma sample applications.</description></item><item><title>Sampling</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/sampling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/sampling/</guid><description>Learn how to adjust LLM sampling parameters like Temperature, Top P, and penalties for better output control</description></item><item><title>Sandbox</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/sandbox/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/sandbox/</guid><description>Build an IDE-like UI for a coding agent backed by a sandbox environment</description></item><item><title>Sandbox</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/sandbox/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/sandbox/</guid><description>Build an IDE-like UI for a coding agent backed by a sandbox environment</description></item><item><title>Sandbox Agents</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/sandboxes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/sandboxes/</guid><description>Learn how sandboxes fit into Agents SDK workflows, when to use them, and how orchestration stays separate from execution.</description></item><item><title>Sandbox auth proxy</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/sandbox-auth-proxy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/sandbox-auth-proxy/</guid><description>Inject credentials into outbound API requests from sandboxes without hardcoding secrets.</description></item><item><title>Sandbox SDK usage</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/sandbox-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/sandbox-sdk/</guid><description>Create and manage sandboxes programmatically with the Python or TypeScript SDK.</description></item><item><title>Sandbox templates</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/sandbox-templates/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/sandbox-templates/</guid><description>Define container images, resource limits, and configuration for sandboxes using templates.</description></item><item><title>Sandbox warm pools</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/sandbox-warm-pools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/sandbox-warm-pools/</guid><description>Pre-provision sandboxes for faster execution with automatic replenishment.</description></item><item><title>Sandboxes</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/sandboxes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/sandboxes/</guid><description>Execute code in isolated environments with sandbox backends</description></item><item><title>Sandboxes</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/sandboxes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/sandboxes/</guid><description>Execute code in isolated environments with sandbox backends</description></item><item><title>Sandboxing</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/sandboxing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/sandboxing/</guid><description>Learn how Claude Code&amp;rsquo;s sandboxed bash tool provides filesystem and network isolation for safer, more autonomous agent execution.</description></item><item><title>Save and diff code</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/code/</guid><description/></item><item><title>Scalability &amp; resilience</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/scalability-and-resilience/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/scalability-and-resilience/</guid><description/></item><item><title>Scale pod-based indexes</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/scale-pod-based-indexes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/scale-pod-based-indexes/</guid><description>Scale indexes vertically or horizontally as needed</description></item><item><title>Scatter plots</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/scatter-plot/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/scatter-plot/</guid><description/></item><item><title>Schedule recurring tasks in Claude Code Desktop</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/desktop-scheduled-tasks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/desktop-scheduled-tasks/</guid><description>Set up scheduled tasks in Claude Code Desktop to run Claude automatically on a recurring basis for daily code reviews, dependency audits, or morning briefings.</description></item><item><title>Schedule tasks on the web</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/web-scheduled-tasks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/web-scheduled-tasks/</guid><description>Automate recurring work with cloud scheduled tasks</description></item><item><title>Schedules</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/schedules/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/schedules/</guid><description>Configure schedules to run your Fleet agents on a recurring basis.</description></item><item><title>Schema Basics</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/schema/schema-basics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/schema/schema-basics/</guid><description>Learn how to create and use Schema to configure indexes on your Chroma collections.</description></item><item><title>Scrapegraph Scrape Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapegraphscrapetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapegraphscrapetool/</guid><description>The &amp;lsquo;ScrapegraphScrapeTool&amp;rsquo; leverages Scrapegraph AI&amp;rsquo;s SmartScraper API to intelligently extract content from websites.</description></item><item><title>Scrapfly Scrape Website Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapflyscrapetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapflyscrapetool/</guid><description>The &amp;lsquo;ScrapflyScrapeWebsiteTool&amp;rsquo; leverages Scrapfly&amp;rsquo;s web scraping API to extract content from websites in various formats.</description></item><item><title>Scripts Utilities</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/script_utils/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/script_utils/</guid><description/></item><item><title>SDFT</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/sdft_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/sdft_trainer/</guid><description/></item><item><title>SDK Tiering System</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/sdk-tiers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/sdk-tiers/</guid><description>Feature completeness, protocol support, and maintenance commitment levels for Model Context Protocol SDKs</description></item><item><title>SDKs</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/sdk/</guid><description>Official SDKs for building with Model Context Protocol</description></item><item><title>SDPO</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/sdpo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/sdpo_trainer/</guid><description/></item><item><title>Search Assistants</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/search-assistants/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/search-assistants/</guid><description>Search for assistants.</description></item><item><title>Search Basics</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/search-basics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/search-basics/</guid><description>Learn how to construct and use the Search class for querying your Chroma collections.</description></item><item><title>Search Crons</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/search-crons/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/search-crons/</guid><description>Search all active crons</description></item><item><title>Search or list items within a namespace prefix.</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/search-or-list-items-within-a-namespace-prefix/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/search-or-list-items-within-a-namespace-prefix/</guid><description>Lists items ordered by last updated time. If a &amp;lsquo;query&amp;rsquo; is provided, performs a natural language search instead. Supports pagination via &amp;rsquo;limit&amp;rsquo; and &amp;lsquo;offset&amp;rsquo;, and filtering via &amp;lsquo;filter&amp;rsquo;.</description></item><item><title>Search Results</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/search-results/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/search-results/</guid><description/></item><item><title>Search Threads</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/search-threads/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/search-threads/</guid><description>Search for threads.</description></item><item><title>Secure Deployment</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/secure-deployment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/secure-deployment/</guid><description>&lt;p&gt;This guide becomes essential the moment you move an agent from local development to any shared or production environment. Focus on the sections covering input sanitization and output validation, as prompt injection through user-supplied content is the most common attack vector for deployed agents. Be aware that securing an agent is different from securing a traditional API &amp;ndash; you must account for the model&amp;rsquo;s ability to chain tool calls in unexpected ways, so defense-in-depth with both permission restrictions and monitoring is necessary. Read this in conjunction with the permissions guide, as the two together form a complete security strategy.&lt;/p&gt;</description></item><item><title>Secure MCP Tunnel</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/secure-mcp-tunnels/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/secure-mcp-tunnels/</guid><description>Connect private or on-prem MCP servers to supported OpenAI products with an outbound-only MCP tunnel, without exposing them to the public internet.</description></item><item><title>Secure Training (BYOB)</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/secure-fine-tuning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/secure-fine-tuning/</guid><description>Fine-tune models while keeping sensitive data and components under your control</description></item><item><title>Security</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/security/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/security/</guid><description>Learn about Claude Code&amp;rsquo;s security safeguards and best practices for safe usage.</description></item><item><title>Security policy</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/security-policy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/security-policy/</guid><description/></item><item><title>Security policy</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/security-policy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/security-policy/</guid><description/></item><item><title>Self-host LangSmith on Kubernetes</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/kubernetes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/kubernetes/</guid><description/></item><item><title>Self-host LangSmith with Docker</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/docker/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/docker/</guid><description/></item><item><title>Self-host standalone servers</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-standalone-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-standalone-server/</guid><description/></item><item><title>Self-hosted</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/self-hosted-link/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/self-hosted-link/</guid><description/></item><item><title>Self-hosted LangSmith</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-hosted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-hosted/</guid><description/></item><item><title>Self-hosted LangSmith changelog</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-hosted-changelog/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-hosted-changelog/</guid><description/></item><item><title>Self-hosted LangSmith on AWS</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/aws-self-hosted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/aws-self-hosted/</guid><description/></item><item><title>Self-hosted LangSmith on Azure</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/azure-self-hosted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/azure-self-hosted/</guid><description/></item><item><title>Self-hosted LangSmith on GCP</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/gcp-self-hosted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/gcp-self-hosted/</guid><description/></item><item><title>Self-Managed infrastructure requirements</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/requirements/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/requirements/</guid><description>Infrastructure and software requirements for W&amp;amp;B Self-Managed deployments</description></item><item><title>Semantic run plot legends</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/color-code-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/color-code-runs/</guid><description>Create semantic legends for charts</description></item><item><title>Semantic search</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/semantic-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/search/semantic-search/</guid><description>Find semantically similar records using dense vectors.</description></item><item><title>Semantic search - Cohere on Azure AI Foundry</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-sem-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-sem-search/</guid><description>A guide for performing text semantic search with Cohere&amp;rsquo;s Embed models on Azure AI Foundry (API v2).</description></item><item><title>Send an alert</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/alert/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/alert/</guid><description>Send alerts, triggered from your Python code, to your Slack or email</description></item><item><title>Send OpenTelemetry Traces to Weave</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/otel/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/otel/</guid><description>Ingest OpenTelemetry compatible trace data through a dedicated endpoint</description></item><item><title>Sending and returning files with GPT Actions</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/actions/sending-files/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/actions/sending-files/</guid><description>Learn how to send and return files using GPT Actions in the OpenAI API.</description></item><item><title>Sentence Transformer</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/sentence-transformer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/sentence-transformer/</guid><description/></item><item><title>SEP-1024: MCP Client Security Requirements for Local Server Installation</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1024-mcp-client-security-requirements-for-local-server-/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1024-mcp-client-security-requirements-for-local-server-/</guid><description>MCP Client Security Requirements for Local Server Installation</description></item><item><title>SEP-1024: MCP Client Security Requirements for Local Server Installation</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1024-mcp-client-security-requirements-for-local-server-/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1024-mcp-client-security-requirements-for-local-server-/</guid><description>MCP Client Security Requirements for Local Server Installation</description></item><item><title>SEP-1034: Support default values for all primitive types in elicitation schemas</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1034--support-default-values-for-all-primitive-types-in/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1034--support-default-values-for-all-primitive-types-in/</guid><description>Support default values for all primitive types in elicitation schemas</description></item><item><title>SEP-1034: Support default values for all primitive types in elicitation schemas</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1034--support-default-values-for-all-primitive-types-in/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1034--support-default-values-for-all-primitive-types-in/</guid><description>Support default values for all primitive types in elicitation schemas</description></item><item><title>SEP-1036: URL Mode Elicitation for secure out-of-band interactions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1036-url-mode-elicitation-for-secure-out-of-band-intera/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1036-url-mode-elicitation-for-secure-out-of-band-intera/</guid><description>URL Mode Elicitation for secure out-of-band interactions</description></item><item><title>SEP-1036: URL Mode Elicitation for secure out-of-band interactions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1036-url-mode-elicitation-for-secure-out-of-band-intera/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1036-url-mode-elicitation-for-secure-out-of-band-intera/</guid><description>URL Mode Elicitation for secure out-of-band interactions</description></item><item><title>SEP-1046: Support OAuth client credentials flow in authorization</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1046-support-oauth-client-credentials-flow-in-authoriza/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1046-support-oauth-client-credentials-flow-in-authoriza/</guid><description>Support OAuth client credentials flow in authorization</description></item><item><title>SEP-1046: Support OAuth client credentials flow in authorization</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1046-support-oauth-client-credentials-flow-in-authoriza/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1046-support-oauth-client-credentials-flow-in-authoriza/</guid><description>Support OAuth client credentials flow in authorization</description></item><item><title>SEP-1302: Formalize Working Groups and Interest Groups in MCP Governance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1302-formalize-working-groups-and-interest-groups-in-mc/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1302-formalize-working-groups-and-interest-groups-in-mc/</guid><description>Formalize Working Groups and Interest Groups in MCP Governance</description></item><item><title>SEP-1302: Formalize Working Groups and Interest Groups in MCP Governance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1302-formalize-working-groups-and-interest-groups-in-mc/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1302-formalize-working-groups-and-interest-groups-in-mc/</guid><description>Formalize Working Groups and Interest Groups in MCP Governance</description></item><item><title>SEP-1303: Input Validation Errors as Tool Execution Errors</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1303-input-validation-errors-as-tool-execution-errors/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1303-input-validation-errors-as-tool-execution-errors/</guid><description>Input Validation Errors as Tool Execution Errors</description></item><item><title>SEP-1303: Input Validation Errors as Tool Execution Errors</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1303-input-validation-errors-as-tool-execution-errors/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1303-input-validation-errors-as-tool-execution-errors/</guid><description>Input Validation Errors as Tool Execution Errors</description></item><item><title>SEP-1319: Decouple Request Payload from RPC Methods Definition</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1319-decouple-request-payload-from-rpc-methods-definiti/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1319-decouple-request-payload-from-rpc-methods-definiti/</guid><description>Decouple Request Payload from RPC Methods Definition</description></item><item><title>SEP-1319: Decouple Request Payload from RPC Methods Definition</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1319-decouple-request-payload-from-rpc-methods-definiti/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1319-decouple-request-payload-from-rpc-methods-definiti/</guid><description>Decouple Request Payload from RPC Methods Definition</description></item><item><title>SEP-1330: Elicitation Enum Schema Improvements and Standards Compliance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1330-elicitation-enum-schema-improvements-and-standards/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1330-elicitation-enum-schema-improvements-and-standards/</guid><description>Elicitation Enum Schema Improvements and Standards Compliance</description></item><item><title>SEP-1330: Elicitation Enum Schema Improvements and Standards Compliance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1330-elicitation-enum-schema-improvements-and-standards/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1330-elicitation-enum-schema-improvements-and-standards/</guid><description>Elicitation Enum Schema Improvements and Standards Compliance</description></item><item><title>SEP-1577: Sampling With Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1577--sampling-with-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1577--sampling-with-tools/</guid><description>Sampling With Tools</description></item><item><title>SEP-1577: Sampling With Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1577--sampling-with-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1577--sampling-with-tools/</guid><description>Sampling With Tools</description></item><item><title>SEP-1613: Establish JSON Schema 2020-12 as Default Dialect for MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1613-establish-json-schema-2020-12-as-default-dialect-f/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1613-establish-json-schema-2020-12-as-default-dialect-f/</guid><description>Establish JSON Schema 2020-12 as Default Dialect for MCP</description></item><item><title>SEP-1613: Establish JSON Schema 2020-12 as Default Dialect for MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1613-establish-json-schema-2020-12-as-default-dialect-f/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1613-establish-json-schema-2020-12-as-default-dialect-f/</guid><description>Establish JSON Schema 2020-12 as Default Dialect for MCP</description></item><item><title>SEP-1686: Tasks</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1686-tasks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1686-tasks/</guid><description>Tasks</description></item><item><title>SEP-1686: Tasks</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1686-tasks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1686-tasks/</guid><description>Tasks</description></item><item><title>SEP-1699: Support SSE polling via server-side disconnect</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1699-support-sse-polling-via-server-side-disconnect/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1699-support-sse-polling-via-server-side-disconnect/</guid><description>Support SSE polling via server-side disconnect</description></item><item><title>SEP-1699: Support SSE polling via server-side disconnect</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1699-support-sse-polling-via-server-side-disconnect/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1699-support-sse-polling-via-server-side-disconnect/</guid><description>Support SSE polling via server-side disconnect</description></item><item><title>SEP-1730: SDKs Tiering System</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1730-sdks-tiering-system/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1730-sdks-tiering-system/</guid><description>SDKs Tiering System</description></item><item><title>SEP-1730: SDKs Tiering System</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1730-sdks-tiering-system/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1730-sdks-tiering-system/</guid><description>SDKs Tiering System</description></item><item><title>SEP-1850: PR-Based SEP Workflow</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1850-pr-based-sep-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1850-pr-based-sep-workflow/</guid><description>PR-Based SEP Workflow</description></item><item><title>SEP-1850: PR-Based SEP Workflow</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1850-pr-based-sep-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1850-pr-based-sep-workflow/</guid><description>PR-Based SEP Workflow</description></item><item><title>SEP-1865: MCP Apps - Interactive User Interfaces for MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1865-mcp-apps-interactive-user-interfaces-for-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1865-mcp-apps-interactive-user-interfaces-for-mcp/</guid><description>MCP Apps - Interactive User Interfaces for MCP</description></item><item><title>SEP-1865: MCP Apps - Interactive User Interfaces for MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1865-mcp-apps-interactive-user-interfaces-for-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1865-mcp-apps-interactive-user-interfaces-for-mcp/</guid><description>MCP Apps - Interactive User Interfaces for MCP</description></item><item><title>SEP-2085: Governance Succession and Amendment Procedures</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/2085-governance-succession-and-amendment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/2085-governance-succession-and-amendment/</guid><description>Governance Succession and Amendment Procedures</description></item><item><title>SEP-2085: Governance Succession and Amendment Procedures</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2085-governance-succession-and-amendment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2085-governance-succession-and-amendment/</guid><description>Governance Succession and Amendment Procedures</description></item><item><title>SEP-2133: Extensions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/2133-extensions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/2133-extensions/</guid><description>Extensions</description></item><item><title>SEP-2133: Extensions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2133-extensions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2133-extensions/</guid><description>Extensions</description></item><item><title>SEP-2148: MCP Contributor Ladder</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2148-contributor-ladder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2148-contributor-ladder/</guid><description>MCP Contributor Ladder</description></item><item><title>SEP-2149: MCP Group Governance and Charter Template</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2149-working-group-charter-template/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2149-working-group-charter-template/</guid><description>MCP Group Governance and Charter Template</description></item><item><title>SEP-2207: OIDC-Flavored Refresh Token Guidance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2207-oidc-refresh-token-guidance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2207-oidc-refresh-token-guidance/</guid><description>OIDC-Flavored Refresh Token Guidance</description></item><item><title>SEP-2260: Require Server requests to be associated with a Client request.</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2260-require-server-requests-to-be-associated-with-client-requests/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2260-require-server-requests-to-be-associated-with-client-requests/</guid><description>Require Server requests to be associated with a Client request.</description></item><item><title>SEP-414: Document OpenTelemetry Trace Context Propagation Conventions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/414-request-meta/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/414-request-meta/</guid><description>Document OpenTelemetry Trace Context Propagation Conventions</description></item><item><title>SEP-414: Document OpenTelemetry Trace Context Propagation Conventions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/414-request-meta/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/414-request-meta/</guid><description>Document OpenTelemetry Trace Context Propagation Conventions</description></item><item><title>SEP-932: Model Context Protocol Governance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/932-model-context-protocol-governance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/932-model-context-protocol-governance/</guid><description>Model Context Protocol Governance</description></item><item><title>SEP-932: Model Context Protocol Governance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/932-model-context-protocol-governance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/932-model-context-protocol-governance/</guid><description>Model Context Protocol Governance</description></item><item><title>SEP-973: Expose additional metadata for Implementations, Resources, Tools and Prompts</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/973-expose-additional-metadata-for-implementations-res/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/973-expose-additional-metadata-for-implementations-res/</guid><description>Expose additional metadata for Implementations, Resources, Tools and Prompts</description></item><item><title>SEP-973: Expose additional metadata for Implementations, Resources, Tools and Prompts</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/973-expose-additional-metadata-for-implementations-res/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/973-expose-additional-metadata-for-implementations-res/</guid><description>Expose additional metadata for Implementations, Resources, Tools and Prompts</description></item><item><title>SEP-985: Align OAuth 2.0 Protected Resource Metadata with RFC 9728</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/985-align-oauth-20-protected-resource-metadata-with-rf/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/985-align-oauth-20-protected-resource-metadata-with-rf/</guid><description>Align OAuth 2.0 Protected Resource Metadata with RFC 9728</description></item><item><title>SEP-985: Align OAuth 2.0 Protected Resource Metadata with RFC 9728</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/985-align-oauth-20-protected-resource-metadata-with-rf/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/985-align-oauth-20-protected-resource-metadata-with-rf/</guid><description>Align OAuth 2.0 Protected Resource Metadata with RFC 9728</description></item><item><title>SEP-990: Enable enterprise IdP policy controls during MCP OAuth flows</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/990-enable-enterprise-idp-policy-controls-during-mcp-o/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/990-enable-enterprise-idp-policy-controls-during-mcp-o/</guid><description>Enable enterprise IdP policy controls during MCP OAuth flows</description></item><item><title>SEP-990: Enable enterprise IdP policy controls during MCP OAuth flows</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/990-enable-enterprise-idp-policy-controls-during-mcp-o/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/990-enable-enterprise-idp-policy-controls-during-mcp-o/</guid><description>Enable enterprise IdP policy controls during MCP OAuth flows</description></item><item><title>SEP-991: Enable URL-based Client Registration using OAuth Client ID Metadata Documents</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/991-enable-url-based-client-registration-using-oauth-c/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/991-enable-url-based-client-registration-using-oauth-c/</guid><description>Enable URL-based Client Registration using OAuth Client ID Metadata Documents</description></item><item><title>SEP-991: Enable URL-based Client Registration using OAuth Client ID Metadata Documents</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/991-enable-url-based-client-registration-using-oauth-c/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/991-enable-url-based-client-registration-using-oauth-c/</guid><description>Enable URL-based Client Registration using OAuth Client ID Metadata Documents</description></item><item><title>SEP-994: Shared Communication Practices/Guidelines</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/994-shared-communication-practicesguidelines/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/994-shared-communication-practicesguidelines/</guid><description>Shared Communication Practices/Guidelines</description></item><item><title>SEP-994: Shared Communication Practices/Guidelines</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/994-shared-communication-practicesguidelines/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/994-shared-communication-practicesguidelines/</guid><description>Shared Communication Practices/Guidelines</description></item><item><title>Sequential agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/sequential-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/sequential-agents/_overview/</guid><description/></item><item><title>Sequential Processes</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/sequential-process/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/sequential-process/</guid><description>A comprehensive guide to utilizing the sequential processes for task execution in CrewAI projects.</description></item><item><title>Sequential Workflow</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/sequential-agent-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/sequential-agent-workflow/</guid><description>Coordinating a chain of LLM calls to solve a complex task.</description></item><item><title>SerpApi Google Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serpapi-googlesearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serpapi-googlesearchtool/</guid><description>The &amp;lsquo;SerpApiGoogleSearchTool&amp;rsquo; performs Google searches using the SerpApi service.</description></item><item><title>SerpApi Google Shopping Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serpapi-googleshoppingtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serpapi-googleshoppingtool/</guid><description>The &amp;lsquo;SerpApiGoogleShoppingTool&amp;rsquo; searches Google Shopping results using SerpApi.</description></item><item><title>Server</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/mcp/server/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/mcp/server/_overview/</guid><description/></item><item><title>Server Card Charter</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/server-card/charter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/server-card/charter/</guid><description>Charter for the MCP Server Card Working Group.</description></item><item><title>Server Information</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/server-information/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/server-information/</guid><description>Get server version information, feature flags, and metadata.</description></item><item><title>Server Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/server-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/server-tools/</guid><description/></item><item><title>Serverless index connection errors</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/serverless-index-connection-errors/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/serverless-index-connection-errors/</guid><description/></item><item><title>Serverless index creation error - max serverless indexes</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/index-creation-error-max-serverless/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/index-creation-error-max-serverless/</guid><description/></item><item><title>Serverless Models</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/serverless-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/serverless-models/</guid><description/></item><item><title>Serverless Pricing</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/serverless/pricing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/serverless/pricing/</guid><description>Per-token serverless pricing for text, vision, and embedding models, including Priority and Fast serving paths</description></item><item><title>Serverless Rate Limits</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/serverless/rate-limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/serverless/rate-limits/</guid><description>Adaptive rate limits grow and shrink with your usage</description></item><item><title>Serverless Serving Paths</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/serverless/serving-paths/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/serverless/serving-paths/</guid><description>Standard, Priority, and Fast serving paths on Fireworks Serverless</description></item><item><title>Service Tiers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/service-tiers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/service-tiers/</guid><description/></item><item><title>Session: Tracking Individual Conversations</title><link>https://learn-ai.blindshot.kz/docs/google/adk/sessions/session/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/sessions/session/_overview/</guid><description/></item><item><title>Sessions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/sessions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/sessions/</guid><description/></item><item><title>Sessions</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/sessions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/sessions/</guid><description>Manage stateful conversations with automatic history persistence and memory controls.</description></item><item><title>Set a sampling rate for traces</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/sample-traces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/sample-traces/</guid><description/></item><item><title>Set Call display name</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/set-call-display/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/set-call-display/</guid><description>Set or override the display name for a Call in W&amp;amp;B Weave tracing</description></item><item><title>Set Latest Assistant Version</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/set-latest-assistant-version/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/set-latest-assistant-version/</guid><description>Set the latest version for an assistant.</description></item><item><title>Set up a self-managed W&amp;B Weave instance</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/platform/weave-self-managed/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/platform/weave-self-managed/</guid><description>Deploy and manage Weave on your own infrastructure</description></item><item><title>Set up Agent Auth (Beta)</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-auth/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-auth/</guid><description>Enable secure access from agents to any system using OAuth 2.0 credentials with Agent Auth.</description></item><item><title>Set up annotation queues</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/annotation-queues/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/annotation-queues/</guid><description>Create annotation queues, route traces to domain experts, and export structured feedback.</description></item><item><title>Set up automation rules</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/rules/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/rules/</guid><description/></item><item><title>Set up automations</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/automations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/automations/</guid><description>Create event-driven automations that trigger actions based on monitor metrics and trace activity.</description></item><item><title>Set up composite online evaluators</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/online-evaluations-composite/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/online-evaluations-composite/</guid><description/></item><item><title>Set up custom authentication</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/set-up-custom-auth/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/set-up-custom-auth/</guid><description/></item><item><title>Set up feedback criteria</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/set-up-feedback-criteria/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/set-up-feedback-criteria/</guid><description/></item><item><title>Set up guardrails</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/guardrails/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/guardrails/</guid><description>Ensure LLM safety and measure output quality in production applications</description></item><item><title>Set up hierarchy</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/set-up-hierarchy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/set-up-hierarchy/</guid><description/></item><item><title>Set up hybrid LangSmith</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-hybrid/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deploy-hybrid/</guid><description/></item><item><title>Set up LangSmith</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/platform-setup/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/platform-setup/</guid><description/></item><item><title>Set up LLM-as-a-judge online evaluators</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/online-evaluations-llm-as-judge/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/online-evaluations-llm-as-judge/</guid><description/></item><item><title>Set up monitors</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/monitors/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/monitors/</guid><description>Passively score production traffic to surface trends and issues</description></item><item><title>Set up multi-turn online evaluators</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/online-evaluations-multi-turn/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/online-evaluations-multi-turn/</guid><description/></item><item><title>Set up online code evaluators</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/online-evaluations-code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/online-evaluations-code/</guid><description/></item><item><title>Set up resource tags</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/set-up-resource-tags/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/set-up-resource-tags/</guid><description/></item><item><title>Set up SSO with OAuth2.0 and OIDC</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-sso/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-sso/</guid><description/></item><item><title>Set up the LLM auth proxy</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/llm-auth-proxy-self-hosted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/llm-auth-proxy-self-hosted/</guid><description>Deploy an Envoy-based auth proxy that validates LangSmith-signed JWTs and routes LLM requests to your upstream provider or gateway.</description></item><item><title>SFT Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/sft_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/sft_trainer/</guid><description>&lt;p&gt;Supervised fine-tuning is the simplest and most common way to adapt a model to your data, and the SFTTrainer is where most TRL users begin. Pay close attention to dataset format: it accepts both language-modeling and prompt-completion shapes and auto-applies the chat template for conversational data, so mismatched formats are the most common source of silent quality loss. Two gotchas worth remembering are that completion-only loss is on by default for prompt-completion datasets, and that training adapters via PEFT usually wants a higher learning rate near 1e-4. Read the TRL overview first, and pair this with the PEFT LoRA guide when you train adapters.&lt;/p&gt;</description></item><item><title>Share or unshare a trace publicly</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/share-trace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/share-trace/</guid><description/></item><item><title>Shell</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-shell/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-shell/</guid><description>Run shell commands in hosted containers or your own local runtime.</description></item><item><title>Shopify Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/shopify/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/shopify/</guid><description>E-commerce and online store management with Shopify integration for CrewAI.</description></item><item><title>Short-term memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/short-term-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/short-term-memory/</guid><description/></item><item><title>Short-term memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/short-term-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/short-term-memory/</guid><description/></item><item><title>Short-Term Memory Handling for Agents</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/agent-short-term-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/agent-short-term-memory/</guid><description>This page describes how to manage short-term memory in an agent built with Cohere models.</description></item><item><title>Signal handling and sweep runs</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/signal-handling-sweep-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/signal-handling-sweep-runs/</guid><description>Learn how W&amp;amp;B Sweeps handle UNIX signals, exit codes, and preemption in sweep runs.</description></item><item><title>Signatures</title><link>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/signatures/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/signatures/_overview/</guid><description/></item><item><title>Single Sign-On (SSO)</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/sso/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/sso/</guid><description>Configure enterprise SSO authentication for CrewAI Platform — SaaS and Factory</description></item><item><title>Single Sign-On (SSO)</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/sso/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/sso/</guid><description/></item><item><title>Single-hop Query Testset</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/singlehop_testset_gen/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/singlehop_testset_gen/_overview/</guid><description/></item><item><title>Single-Node Performance</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/performance/single-node/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/performance/single-node/</guid><description>Single-node Chroma performance benchmarks and limitations.</description></item><item><title>SingleStore Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/singlestoresearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/singlestoresearchtool/</guid><description>The &amp;lsquo;SingleStoreSearchTool&amp;rsquo; safely executes SELECT/SHOW queries on SingleStore with pooling.</description></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/skills/</guid><description>&lt;p&gt;Skills in the Agent SDK are the primary abstraction for packaging reusable capabilities that agents can invoke — think of them as higher-level building blocks above raw tool definitions. Focus on how skill registration exposes capabilities to the agent runtime and how the SDK handles skill discovery, parameter validation, and result formatting. A subtle but important detail is how skill descriptions influence the model&amp;rsquo;s decision to invoke them; poorly written descriptions lead to unreliable skill selection. Read this reference alongside the agent-skills quickstart and best practices guides for the full picture from concept to production-ready implementation.&lt;/p&gt;</description></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/skills/</guid><description>Learn how to extend your deep agent&amp;rsquo;s capabilities with skills</description></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/skills/</guid><description/></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/skills/</guid><description>Learn how to extend your deep agent&amp;rsquo;s capabilities with skills</description></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/skills/</guid><description/></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-skills/</guid><description>Upload, manage, and attach reusable skills to hosted environments.</description></item><item><title>Skills for ADK agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/skills/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/skills/_overview/</guid><description/></item><item><title>Skills Guide</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/skills-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/skills-guide/</guid><description>&lt;p&gt;Skills are a powerful abstraction for packaging reusable capabilities that Claude can invoke within IDE integrations and agent workflows. This guide walks through defining, registering, and composing skills so your agent can dispatch specialized behaviors without bloating the system prompt. Pay close attention to how skill discovery works at runtime, since misconfigurations here silently degrade agent performance rather than producing obvious errors. Read this alongside the Agent Skills overview doc to understand the full lifecycle from definition to invocation.&lt;/p&gt;</description></item><item><title>Slack Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/slack/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/slack/</guid><description>Team communication and collaboration with Slack integration for CrewAI.</description></item><item><title>Slack Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/slack-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/slack-trigger/</guid><description>Trigger CrewAI crews directly from Slack using slash commands</description></item><item><title>Slash Commands</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/slash-commands/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/slash-commands/</guid><description/></item><item><title>Slurm Configuration</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/slurm-configuration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/slurm-configuration/</guid><description>Customize Slurm cluster settings to match your workload requirements</description></item><item><title>Slurm Management System</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/slurm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/slurm/</guid><description/></item><item><title>Smolagents</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/smolagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/smolagents/</guid><description>Track and analyze Smolagents agentic applications with Weave&amp;rsquo;s automatic tracing, capturing tool calls, model inferences, and multi-step workflows across OpenAI, Hugging Face, and Anthropic LLM providers.</description></item><item><title>Smooth line plots</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/line-plot/smoothing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/app/features/panels/line-plot/smoothing/</guid><description>In line plots, use smoothing to see trends in noisy data.</description></item><item><title>Snowflake</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/snowflake/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/snowflake/</guid><description/></item><item><title>Snowflake Cortex</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/sfcortex/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/sfcortex/</guid><description>Access Mistral AI models on Snowflake Cortex as serverless, fully managed endpoints for SQL &amp;amp; Python</description></item><item><title>Snowflake Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/snowflakesearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/snowflakesearchtool/</guid><description>The &amp;lsquo;SnowflakeSearchTool&amp;rsquo; enables CrewAI agents to execute SQL queries and perform semantic search on Snowflake data warehouses.</description></item><item><title>Span-Based</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/evaluators/span-based/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/evaluators/span-based/_overview/</guid><description/></item><item><title>Sparse Vector Search Setup</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/schema/sparse-vector-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/schema/sparse-vector-search/</guid><description>Learn how to configure and use sparse vectors for keyword-based search, and combine them with dense embeddings for powerful hybrid search capabilities.</description></item><item><title>Speech to text</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/speech-to-text/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/speech-to-text/</guid><description>Learn how to turn audio into text with the OpenAI API.</description></item><item><title>Speech-to-Text</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/speech-to-text/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/speech-to-text/</guid><description>Learn how to transcribe and translate audio into text!</description></item><item><title>Speed Comparison</title><link>https://learn-ai.blindshot.kz/docs/safetensors/main/speed/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/safetensors/main/speed/</guid><description/></item><item><title>Speed up responses with fast mode</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/fast-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/fast-mode/</guid><description>Get faster Opus 4.6 responses in Claude Code by toggling fast mode.</description></item><item><title>Speeding Up Training</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/speeding_up_training/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/speeding_up_training/</guid><description/></item><item><title>Sprocket SDK</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/deployments-sprocket/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/deployments-sprocket/</guid><description>A Python SDK for building inference workers that support both synchronous and asynchronous requests via Together&amp;rsquo;s platform.</description></item><item><title>SSD</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/ssd_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/ssd_trainer/</guid><description/></item><item><title>SSE Transport</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/sse/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/sse/</guid><description>Learn how to connect CrewAI to remote MCP servers using Server-Sent Events (SSE) for real-time communication.</description></item><item><title>Stagehand Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/stagehandtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/stagehandtool/</guid><description>Web automation tool that integrates Stagehand with CrewAI for browser interaction and automation</description></item><item><title>Standard deployment</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/deploy/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/deploy/_overview/</guid><description/></item><item><title>Standard trial</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/standard-trial/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/standard-trial/</guid><description>Get $300 credits for 21 days with the Standard plan trial.</description></item><item><title>Start a sweep agent</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/start-sweep-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/start-sweep-agents/</guid><description>Start or stop a W&amp;amp;B Sweep Agent on one or more machines.</description></item><item><title>State</title><link>https://learn-ai.blindshot.kz/docs/google/adk/sessions/state/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/sessions/state/_overview/</guid><description/></item><item><title>Stateless runs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/stateless-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/stateless-runs/</guid><description/></item><item><title>Stdio Transport</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/stdio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/stdio/</guid><description>Learn how to connect CrewAI to local MCP servers using the Stdio (Standard Input/Output) transport mechanism.</description></item><item><title>Steps</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/graph/beta/steps/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/graph/beta/steps/_overview/</guid><description/></item><item><title>Stop Reasons</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/stop-reasons/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/stop-reasons/</guid><description/></item><item><title>Stop runs</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/stop-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/stop-runs/</guid><description>Stop runs programmatically using the W&amp;amp;B Python SDK or manually from the W&amp;amp;B App.</description></item><item><title>Store and track versions of prompts</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/prompts-version/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/prompts-version/</guid><description>Retrieve and manage versions of your prompts for LLM applications</description></item><item><title>Store and track versions of prompts</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/prompts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/prompts/</guid><description>Store, organize, and track versions of your prompts for LLM applications</description></item><item><title>Store or update an item.</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/store-or-update-an-item/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/store-or-update-an-item/</guid><description/></item><item><title>Strategic LLM Selection Guide</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-selection-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-selection-guide/</guid><description>Strategic framework for choosing the right LLM for your CrewAI AI agents and writing effective task and agent definitions</description></item><item><title>Stream Compaction</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/compaction/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/compaction/</guid><description>compactEvents utility for reducing verbose streaming sequences</description></item><item><title>Streamable HTTP Transport</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/streamable-http/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/streamable-http/</guid><description>Learn how to connect CrewAI to remote MCP servers using the flexible Streamable HTTP transport.</description></item><item><title>Streaming</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/streaming/</guid><description/></item><item><title>Streaming</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/streaming/</guid><description>&lt;p&gt;Streaming in LangGraph operates at multiple levels &amp;ndash; token-level streaming from the LLM, node-level events as the graph executes, and custom event emission &amp;ndash; and understanding which level to use for your application is critical for responsive UX. The most common pitfall is subscribing to token streams when you actually need node-level events, which floods the client with data it cannot usefully render. Pay attention to how streaming interacts with tool calls and conditional edges, since intermediate nodes may emit partial results that should not be shown to users. Read the workflows-and-agents guide first to understand graph execution flow before layering streaming on top.&lt;/p&gt;</description></item><item><title>Streaming</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/streaming/</guid><description>Stream intermediate tool usage and LLM responses for responsive UIs.</description></item><item><title>Streaming API</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/streaming/</guid><description/></item><item><title>Streaming API responses</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/streaming-responses/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/streaming-responses/</guid><description>Learn how to stream model responses from the OpenAI API using server-sent events.</description></item><item><title>Streaming for tool use (function calling)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-streaming/</guid><description>Guide on implementing streaming for tool use in Cohere&amp;rsquo;s platform and details on the events stream (API v2).</description></item><item><title>Streaming Output</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/streaming-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/streaming-output/</guid><description>&lt;p&gt;This guide dives into the practical implementation details of consuming streamed agent output, which is distinct from the higher-level decision of whether to use streaming at all (covered in the streaming vs. single mode guide). Focus on the event types emitted during a stream, particularly the distinction between text delta events and tool-use events, since your UI rendering logic needs to handle both gracefully. Watch out for the connection drop scenario &amp;ndash; if a stream disconnects mid-response, you need a strategy for resuming or restarting the agent turn. Understanding the event structure here is also essential if you plan to build custom frontends or integrate with frameworks like AG-UI.&lt;/p&gt;</description></item><item><title>Streaming Tools</title><link>https://learn-ai.blindshot.kz/docs/google/adk/streaming/streaming-tools/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/streaming/streaming-tools/_overview/</guid><description/></item><item><title>Streaming Vs Single Mode</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/streaming-vs-single-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/streaming-vs-single-mode/</guid><description>&lt;p&gt;This guide addresses a fundamental architectural decision you will face early in any agent project. Single-turn mode is simpler to implement and debug because you get a complete response at once, making error handling straightforward and retry logic clean. Streaming mode provides real-time token-by-token output that is essential for user-facing applications where perceived latency matters, but it introduces complexity around partial results and connection management. Start with single-turn mode during development and prototyping, then migrate to streaming when you need production-quality user experience.&lt;/p&gt;</description></item><item><title>Streamlit</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/streamlit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/streamlit/</guid><description/></item><item><title>StreamNative</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/streamnative/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/streamnative/</guid><description/></item><item><title>Strict Tool Use</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/strict-tool-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/strict-tool-use/</guid><description/></item><item><title>Stripe Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/stripe/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/stripe/</guid><description>Payment processing and subscription management with Stripe integration for CrewAI.</description></item><item><title>Structured output</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/structured-output/</guid><description>Render structured agent responses with custom UI components instead of plain text</description></item><item><title>Structured output</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/structured-output/</guid><description/></item><item><title>Structured output</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/structured-output/</guid><description>Render structured agent responses with custom UI components instead of plain text</description></item><item><title>Structured output</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/structured-output/</guid><description/></item><item><title>Structured Outputs</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/structured-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/structured-outputs/</guid><description>&lt;p&gt;Structured outputs let you constrain agent responses to conform to a specific schema, which is essential for building reliable pipelines where downstream code depends on predictable JSON shapes. Focus on how schema definitions interact with the agent loop — the SDK validates output at the framework level rather than relying on prompt engineering alone. A key gotcha is that overly complex schemas can increase latency and reduce output quality, so start with flat structures and add nesting only when needed. Compare this approach with OpenAI&amp;rsquo;s structured outputs to understand the tradeoffs in schema expressiveness and enforcement guarantees.&lt;/p&gt;</description></item><item><title>Structured Outputs</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/structured-responses/structured-response-formatting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/structured-responses/structured-response-formatting/</guid><description>Enforce output formats using JSON schemas or custom grammars</description></item><item><title>Structured Outputs</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/json-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/json-mode/</guid><description>Learn how to use JSON mode to get structured outputs from LLMs like DeepSeek V3 &amp;amp; Llama 3.3.</description></item><item><title>Studio troubleshooting</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/troubleshooting-studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/troubleshooting-studio/</guid><description/></item><item><title>Subagents</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/subagents/</guid><description>&lt;p&gt;Subagents enable multi-agent architectures where a parent agent delegates specialized tasks to child agents with their own instructions, tools, and models. Unlike the OpenAI Agents SDK handoffs pattern, which transfers control entirely to another agent, the Anthropic subagent model uses delegation semantics where the parent retains control and receives the subagent&amp;rsquo;s result. Focus on how context is passed between parent and child agents, since over-sharing context inflates token costs while under-sharing causes the subagent to lack necessary information. This is a key building block for complex workflows &amp;ndash; read this after understanding single-agent patterns and before designing multi-agent systems.&lt;/p&gt;</description></item><item><title>Subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/subagents/</guid><description>Learn how to use subagents to delegate work and keep context clean</description></item><item><title>Subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/subagents/</guid><description/></item><item><title>Subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/subagents/</guid><description>Learn how to use subagents to delegate work and keep context clean</description></item><item><title>Subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/subagents/</guid><description/></item><item><title>Subgraphs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/use-subgraphs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/use-subgraphs/</guid><description/></item><item><title>Subgraphs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/use-subgraphs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/use-subgraphs/</guid><description/></item><item><title>Summarizing Text with the Chat Endpoint</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/summarizing-text/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/summarizing-text/</guid><description>Learn how to perform text summarization using Cohere&amp;rsquo;s Chat endpoint with features like length control and RAG.</description></item><item><title>Supervised Fine Tuning - Text</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/fine-tuning-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/fine-tuning-models/</guid><description/></item><item><title>Supervised Fine Tuning - Vision</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/fine-tuning-vlm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/fine-tuning-vlm/</guid><description>Learn how to fine-tune vision-language models on Fireworks AI with image and text datasets</description></item><item><title>Supervised fine-tuning</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/supervised-fine-tuning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/supervised-fine-tuning/</guid><description>Fine-tune OpenAI models with input/output pairs — covering data preparation, training configuration, validation, and deployment of customized models.</description></item><item><title>Support</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/support/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/support/</guid><description/></item><item><title>Support</title><link>https://learn-ai.blindshot.kz/docs/wandb/support/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/support/</guid><description/></item><item><title>Support: Inference</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/support-inference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/support-inference/</guid><description/></item><item><title>Support: Models</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/support-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/support-models/</guid><description/></item><item><title>Support: Weave</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/details/support-weave/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/details/support-weave/</guid><description/></item><item><title>Supported countries and territories</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/supported-countries/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/supported-countries/</guid><description>Countries and territories that currently support access to our API services.</description></item><item><title>Supported Dedicated Cloud regions</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/dedicated-cloud/regions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/dedicated-cloud/regions/</guid><description>View all supported AWS, Google Cloud, and Azure regions available for W&amp;amp;B Dedicated Cloud instances.</description></item><item><title>Supported Dedicated Cloud regions</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/dedicated_regions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/hosting-options/dedicated_regions/</guid><description/></item><item><title>Supported Models</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/evaluations-supported-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/evaluations-supported-models/</guid><description>Supported models for Evaluations</description></item><item><title>Supported Models</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-models/</guid><description>A list of all the models available for fine-tuning.</description></item><item><title>Supported Regions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/supported-regions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/supported-regions/</guid><description/></item><item><title>Swarm</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/swarm_agent_evaluation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/swarm_agent_evaluation/_overview/</guid><description/></item><item><title>Sweep configuration options</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/sweep-config-keys/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/sweep-config-keys/</guid><description/></item><item><title>Sweeps troubleshooting</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/troubleshoot-sweeps/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/troubleshoot-sweeps/</guid><description>Troubleshoot common W&amp;amp;B Sweep issues.</description></item><item><title>Sweeps UI</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/sweeps-ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/sweeps-ui/</guid><description>Describes the different components of the Sweeps UI.</description></item><item><title>sync.openapi</title><link>https://learn-ai.blindshot.kz/docs/chroma/sync.openapi/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/sync.openapi/</guid><description/></item><item><title>Synthesizer Generate From Contexts</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/synthesizer-generate-from-contexts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/synthesizer-generate-from-contexts/</guid><description/></item><item><title>Synthesizer Generate From Docs</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/synthesizer-generate-from-docs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/synthesizer-generate-from-docs/</guid><description/></item><item><title>Synthesizer Generate From Goldens</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/synthesizer-generate-from-goldens/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/synthesizer-generate-from-goldens/</guid><description/></item><item><title>Synthesizer Generate From Scratch</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/synthesizer-generate-from-scratch/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/synthesizer-generate-from-scratch/</guid><description/></item><item><title>System Metrics</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/system-metrics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/system-metrics/</guid><description>Get system metrics in Prometheus or JSON format for monitoring and observability.</description></item><item><title>Systematic Prompt Optimization</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/prompt_optimization/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/prompt_optimization/_overview/</guid><description/></item><item><title>Target an index</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/target-an-index/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/target-an-index/</guid><description>Target an index by host or name for data operations such as upsert and query.</description></item><item><title>Tavily Extractor Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/tavilyextractortool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/tavilyextractortool/</guid><description>Extract structured content from web pages using the Tavily API</description></item><item><title>Tavily Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/tavilysearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/tavilysearchtool/</guid><description>Perform comprehensive web searches using the Tavily Search API</description></item><item><title>tcloud</title><link>https://learn-ai.blindshot.kz/docs/together-ai/tcloud/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/tcloud/</guid><description/></item><item><title>Team Management</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/team-management/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/team-management/</guid><description>Learn how to invite and manage team members in your CrewAI AMP organization</description></item><item><title>Team settings</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/app/settings-page/teams/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/app/settings-page/teams/</guid><description>Collaborate with your colleagues, share results, and track all the experiments across your team. Manage team settings including members, alerts, and privacy.</description></item><item><title>Telemetry</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/telemetry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/telemetry/</guid><description>Understanding the telemetry data collected by CrewAI and how it contributes to the enhancement of the library.</description></item><item><title>Templates</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-templates/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-templates/</guid><description>Start faster with curated Agent Builder templates and customize tools, prompts, and triggers.</description></item><item><title>Templates</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/templates/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/templates/</guid><description>Start faster with curated Fleet templates and customize tools, prompts, and channels.</description></item><item><title>Temporal</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/durable_execution/temporal/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/durable_execution/temporal/_overview/</guid><description/></item><item><title>TensorFlow</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/tensorflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/tensorflow/</guid><description/></item><item><title>TensorRT</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/trt/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/trt/</guid><description>Guide to building and deploying TensorRT-LLM engines with Triton inference server</description></item><item><title>Terraform</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/terraform/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/terraform/</guid><description/></item><item><title>Test</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/_overview/</guid><description>Strategies for testing LangChain agents, including unit tests, integration tests, and trajectory evaluations.</description></item><item><title>Test</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/test/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/test/</guid><description/></item><item><title>Test</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/_overview/</guid><description>Strategies for testing LangChain agents, including unit tests, integration tests, and trajectory evaluations.</description></item><item><title>Test</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/test/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/test/</guid><description/></item><item><title>Test a ReAct agent with Pytest/Vitest and LangSmith</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/test-react-agent-pytest/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/test-react-agent-pytest/</guid><description/></item><item><title>Test Agent Card</title><link>https://learn-ai.blindshot.kz/docs/a2a/a2a-protocol-validator/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/a2a-protocol-validator/</guid><description>Online tool to validate if a domain supports the A2A protocol and visualize agent card information. Enter any URL to check for A2A protocol support and parse the agent.json file.</description></item><item><title>Test deployed agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/test/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/test/_overview/</guid><description/></item><item><title>Test multi-turn conversations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/multiple-messages/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/multiple-messages/</guid><description/></item><item><title>Testing</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/testing/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/testing/_overview/</guid><description/></item><item><title>Testset Generation for RAG</title><link>https://learn-ai.blindshot.kz/docs/ragas/getstarted/rag_testset_generation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/getstarted/rag_testset_generation/_overview/</guid><description/></item><item><title>Text and Chat Completions</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/text_and_chat_completions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/text_and_chat_completions/</guid><description>Mistral models enable chat and text completions with customizable prompts, roles, and streaming options</description></item><item><title>Text Classification Using Embeddings</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/text-classification-using-embeddings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/text-classification-using-embeddings/</guid><description>This page discusses the creation of a text classification model using word vector embeddings.</description></item><item><title>Text Editor Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/text-editor-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/text-editor-tool/</guid><description>&lt;p&gt;The text editor tool gives Claude the ability to view, create, and edit files through structured operations like insert, replace, and undo, making it central to coding agent implementations. Unlike having Claude output code in a message for you to copy, this tool enables autonomous multi-step file modifications within an agentic loop. Focus on understanding the exact replacement semantics, since the tool requires unique string matches for edits and will fail if the target string appears multiple times. This tool works best when combined with the bash tool for running tests after edits, forming the core edit-verify cycle that coding agents depend on.&lt;/p&gt;</description></item><item><title>Text Embeddings</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/embeddings/text_embeddings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/embeddings/text_embeddings/</guid><description>Generate and use text embeddings with Mistral AI&amp;rsquo;s API for NLP tasks like similarity, classification, and retrieval</description></item><item><title>Text generation - Cohere on Azure AI Foundry</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-text-generation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-text-generation/</guid><description>A guide for performing text generation with Cohere&amp;rsquo;s Command models on Azure AI Foundry (API v2).</description></item><item><title>Text Generation Inference</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/tgi/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/tgi/</guid><description>TGI is a toolkit for deploying and serving LLMs with high-performance text generation features like quantization and OpenAI-like API support</description></item><item><title>Text Models</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/querying-text-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/querying-text-models/</guid><description>Query, track and manage inference for text models</description></item><item><title>Text to speech</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/text-to-speech/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/text-to-speech/</guid><description>Learn how to turn text into lifelike spoken audio with the OpenAI API.</description></item><item><title>Text-to-Speech</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/text-to-speech/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/text-to-speech/</guid><description>Learn how to use the text-to-speech functionality supported by Together AI.</description></item><item><title>Text2Vec</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/text2vec/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/text2vec/</guid><description/></item><item><title>The MCP Registry</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/about/</guid><description>&lt;p&gt;This is the starting point for understanding the MCP registry, the centralized discovery layer that lets host applications find and install MCP servers by name. The registry is what turns MCP from a protocol into an ecosystem, so grasping its design goals and trust model is important before publishing or consuming servers. Read this overview first, then move to authentication and package types for the operational details. If you are evaluating whether to publish your MCP server publicly or keep it private, this page covers the discoverability and governance tradeoffs.&lt;/p&gt;</description></item><item><title>The MCP Registry Moderation Policy</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/moderation-policy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/moderation-policy/</guid><description/></item><item><title>Theming and customization in ChatKit</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/chatkit-themes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/chatkit-themes/</guid><description>Configure colors, typography, density, and component variants in your ChatKit implementation.</description></item><item><title>Thinking</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/thinking/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/thinking/_overview/</guid><description/></item><item><title>Thinking Mode</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/thinking_mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/thinking_mode/</guid><description/></item><item><title>Third-Party Tools</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/third-party-tools/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/third-party-tools/_overview/</guid><description/></item><item><title>Ticket Routing</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/ticket-routing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/ticket-routing/</guid><description>Using Claude to automatically classify and route support tickets to the right team based on content analysis.</description></item><item><title>Time travel using the server API</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/human-in-the-loop-time-travel/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/human-in-the-loop-time-travel/</guid><description/></item><item><title>Todo list</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/todo-list/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/todo-list/</guid><description>Track agent progress with a real-time todo list synced from agent state</description></item><item><title>Todo list</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/todo-list/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/todo-list/</guid><description>Track agent progress with a real-time todo list synced from agent state</description></item><item><title>Todo Tracking</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/todo-tracking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/todo-tracking/</guid><description/></item><item><title>Together</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/together/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/together/_overview/</guid><description/></item><item><title>Together AI</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/together-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/together-ai/</guid><description/></item><item><title>Together AI</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/together_ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/together_ai/</guid><description>Track and evaluate Together AI&amp;rsquo;s open source LLMs using Weave&amp;rsquo;s OpenAI SDK compatibility for seamless integration with model calls, fine-tuning workflows, and hosted models.</description></item><item><title>Together AI MCP Server</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/mcp/</guid><description>Install our MCP server in Cursor, Claude Code, or OpenCode in 1 click.</description></item><item><title>Together AI Skills</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/agent-skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/agent-skills/</guid><description>Give your AI coding agent deep knowledge of the Together AI platform with ready-made skills for inference, training, images, video, audio, and infrastructure.</description></item><item><title>Together Code Interpreter</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/together-code-interpreter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/together-code-interpreter/</guid><description>Execute LLM-generated code seamlessly with a simple API call.</description></item><item><title>Together Code Sandbox</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/together-code-sandbox/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/together-code-sandbox/</guid><description>Level-up generative code tooling with fast, secure code sandboxes at scale</description></item><item><title>Together Mixture Of Agents (MoA)</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/mixture-of-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/mixture-of-agents/</guid><description/></item><item><title>Together's IAM Model</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/identity-access-management/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/identity-access-management/</guid><description/></item><item><title>Token Counting</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/token-counting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/token-counting/</guid><description>&lt;p&gt;The token-counting endpoint matters for cost control because it lets you measure exactly how many input tokens a request will consume before you send it, which is essential for budgeting and for staying under context limits. Pay attention to the fact that counts include the system prompt, tools, and images, not just the visible message text — an easy-to-miss source of surprise spend. Use it to validate prompt-caching savings and to size batches safely. Unlike OpenAI&amp;rsquo;s client-side tiktoken approach, Anthropic exposes counting as an API call that reflects the exact tokenizer the model uses.&lt;/p&gt;</description></item><item><title>Token Usage</title><link>https://learn-ai.blindshot.kz/docs/deepseek/quick_start/token_usage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/quick_start/token_usage/</guid><description/></item><item><title>Tonic Validate</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_tonic-validate/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_tonic-validate/_overview/</guid><description/></item><item><title>Tool Call Hooks</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/tool-hooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/tool-hooks/</guid><description>Learn how to use tool call hooks to intercept, modify, and control tool execution in CrewAI</description></item><item><title>Tool calling</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/tool-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/tool-calling/</guid><description>Display agent tool calls with rich, type-safe UI cards</description></item><item><title>Tool calling</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/tool-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/tool-calling/</guid><description>Display agent tool calls with rich, type-safe UI cards</description></item><item><title>Tool Calling</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/function-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/function-calling/</guid><description>Connect models to external tools and APIs</description></item><item><title>Tool Calls</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/tool_calls/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/tool_calls/</guid><description/></item><item><title>Tool Combinations</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-combinations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-combinations/</guid><description/></item><item><title>Tool integrations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-tools/</guid><description>Give your agents access to a wide range of tools and services.</description></item><item><title>Tool integrations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/tools/</guid><description>Give your agents access to a wide range of tools and services.</description></item><item><title>Tool limitations</title><link>https://learn-ai.blindshot.kz/docs/google/adk/tools/limitations/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/tools/limitations/_overview/</guid><description/></item><item><title>Tool performance</title><link>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/performance/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/tools-custom/performance/_overview/</guid><description/></item><item><title>Tool Repository</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/tool-repository/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/tool-repository/</guid><description>Using the Tool Repository to manage your tools</description></item><item><title>Tool Runner</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-runner/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-runner/</guid><description/></item><item><title>Tool search</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-tool-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-tool-search/</guid><description>Use tool search to defer large tool surfaces, group related tools with namespaces, and load only the relevant functions at runtime.</description></item><item><title>Tool Search</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/tool-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/tool-search/</guid><description/></item><item><title>Tool Search Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-search-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-search-tool/</guid><description>&lt;p&gt;The tool search tool enables deferred tool loading, allowing agents with large tool catalogs to discover and activate tools on demand rather than loading everything into context upfront. This is critical for agents that integrate many MCP servers or have hundreds of available tools, since stuffing all tool definitions into the system prompt degrades model performance and wastes tokens. Pay attention to the query semantics: keyword search returns ranked matches while direct selection loads a specific tool by name. Architect your agent so that commonly used tools are always loaded and niche tools are deferred behind search to keep context windows lean.&lt;/p&gt;</description></item><item><title>Tool use &amp; agents - Cohere on Azure AI Foundry</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-tool-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-tool-use/</guid><description>A guide for using tool use and building agents with Cohere&amp;rsquo;s Command models on Azure AI Foundry (API v2).</description></item><item><title>Tool Use With Prompt Caching</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-use-with-prompt-caching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-use-with-prompt-caching/</guid><description/></item><item><title>Tools</title><link>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/tools/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/learn/programming/tools/_overview/</guid><description/></item><item><title>Tools</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/tools/</guid><description/></item><item><title>Tools</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/tools/</guid><description/></item><item><title>Tools</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/tools/</guid><description>Register Python callables as structured tools, manage schemas, and work with tool contexts.</description></item><item><title>Tools &amp; Integrations</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/tools-and-integrations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/tools-and-integrations/</guid><description>Connect external apps and manage internal tools your agents can use.</description></item><item><title>Toolsets</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/toolsets/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/toolsets/_overview/</guid><description/></item><item><title>Topic Modeling System for AI Papers</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/topic-modeling-ai-papers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/topic-modeling-ai-papers/</guid><description>This page discusses how to create a topic-modeling system for papers focused on AI papers.</description></item><item><title>Torch shared tensors</title><link>https://learn-ai.blindshot.kz/docs/safetensors/main/torch_shared_tensors/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/safetensors/main/torch_shared_tensors/</guid><description/></item><item><title>torch.compile</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/torch_compile/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/torch_compile/</guid><description/></item><item><title>TPO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/tpo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/tpo_trainer/</guid><description/></item><item><title>Trace Amazon Bedrock applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-bedrock/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-bedrock/</guid><description/></item><item><title>Trace Anthropic applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-anthropic/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-anthropic/</guid><description/></item><item><title>Trace AutoGen applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-autogen/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-autogen/</guid><description/></item><item><title>Trace Claude Agent SDK applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-claude-agent-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-claude-agent-sdk/</guid><description/></item><item><title>Trace Claude Code applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-claude-code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-claude-code/</guid><description/></item><item><title>Trace CrewAI applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-crewai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-crewai/</guid><description/></item><item><title>Trace Deep Agents applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-deep-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-deep-agents/</guid><description/></item><item><title>Trace DeepSeek applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-deepseek/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-deepseek/</guid><description/></item><item><title>Trace generator functions</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-generator-functions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-generator-functions/</guid><description/></item><item><title>Trace generator functions</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-generator-func/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-generator-func/</guid><description>Track sync and async generator functions with W&amp;amp;B Weave tracing</description></item><item><title>Trace Google ADK applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-google-adk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-google-adk/</guid><description/></item><item><title>Trace Google Gemini applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-google-gemini/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-google-gemini/</guid><description/></item><item><title>Trace grading</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/trace-grading/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/trace-grading/</guid><description>Use trace grading to create datasets, configure graders, and track evaluation runs for your models.</description></item><item><title>Trace Instructor applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-instructor/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-instructor/</guid><description/></item><item><title>Trace JS functions in serverless environments</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/serverless-environments/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/serverless-environments/</guid><description/></item><item><title>Trace LangChain applications (Python and JS/TS)</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-langchain/</guid><description/></item><item><title>Trace LangGraph applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-langgraph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-langgraph/</guid><description/></item><item><title>Trace LiveKit applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-livekit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-livekit/</guid><description/></item><item><title>Trace Mastra applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-mastra/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-mastra/</guid><description/></item><item><title>Trace Microsoft Agent Framework applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-microsoft-agent-framework/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-microsoft-agent-framework/</guid><description/></item><item><title>Trace Mistral applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-mistral/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-mistral/</guid><description/></item><item><title>Trace n8n workflows</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-n8n/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-n8n/</guid><description>Learn how to trace n8n AI workflows in LangSmith.</description></item><item><title>Trace OpenAI Agents SDK applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-openai-agents-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-openai-agents-sdk/</guid><description/></item><item><title>Trace OpenAI applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-openai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-openai/</guid><description/></item><item><title>Trace Pipecat applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-pipecat/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-pipecat/</guid><description/></item><item><title>Trace PydanticAI applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-pydantic-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-pydantic-ai/</guid><description/></item><item><title>Trace query syntax</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-query-syntax/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-query-syntax/</guid><description/></item><item><title>Trace Semantic Kernel applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-semantic-kernel/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-semantic-kernel/</guid><description/></item><item><title>Trace Vercel AI SDK applications (JS/TS only)</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-vercel-ai-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-vercel-ai-sdk/</guid><description/></item><item><title>Trace with API</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-api/</guid><description/></item><item><title>Trace with OpenTelemetry</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-opentelemetry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-opentelemetry/</guid><description/></item><item><title>Trace with Temporal</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-temporal/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-temporal/</guid><description>Learn how to trace Temporal workflows and activities in LangSmith using OpenTelemetry.</description></item><item><title>Trace without setting environment variables</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-without-env-vars/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-without-env-vars/</guid><description/></item><item><title>Trace your code</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/create-call/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/create-call/</guid><description>Instrument your running code so its execution appears as detailed traces in W&amp;amp;B Weave.</description></item><item><title>Traceloop</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/traceloop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/traceloop/</guid><description/></item><item><title>Traces</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/traces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/traces/</guid><description>Using Traces to monitor your Crews</description></item><item><title>Tracing</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/tracing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/tracing/</guid><description>Capture spans for every agent step, emit data to OpenAI traces, and integrate third-party processors.</description></item><item><title>Tracing and logging evaluations with Observability tools</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/metrics/tracing/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/metrics/tracing/_overview/</guid><description/></item><item><title>Tracing Basics</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/tracing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/tracing/</guid><description>Track and monitor your AI application&amp;rsquo;s execution with Weave tracing</description></item><item><title>Track and version objects</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/objects/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/objects/</guid><description>Track and version any JSON-serializable object in Weave</description></item><item><title>Track application versions with models</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/models/</guid><description>Track versions of your application with structured models that combine data and code.</description></item><item><title>Track costs</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/costs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/costs/</guid><description>Track and manage costs for LLM operations in Weave</description></item><item><title>Track CSV files with experiments</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/working-with-csv/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/log/working-with-csv/</guid><description>Importing and logging data into W&amp;amp;B</description></item><item><title>Track external files</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/track-external-files/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/track-external-files/</guid><description>Track files saved in an external bucket, HTTP file server, or an NFS share.</description></item><item><title>Track Jupyter notebooks</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/jupyter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/jupyter/</guid><description>Use W&amp;amp;B with Jupyter to get interactive visualizations without leaving your notebook.</description></item><item><title>Track team usage with analytics</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/analytics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/analytics/</guid><description>View Claude Code usage metrics, track adoption, and measure engineering velocity in the analytics dashboard.</description></item><item><title>Track threads</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/threads/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/threads/</guid><description>Track and analyze multi-turn conversations in your LLM applications using threads.</description></item><item><title>Track user activity with audit logs</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/monitoring-usage/audit-logging/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/monitoring-usage/audit-logging/</guid><description/></item><item><title>Trackio Integration</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/trackio_integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/trackio_integration/</guid><description/></item><item><title>Training and Sampling</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/training-and-sampling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/training-and-sampling/</guid><description>End-to-end SDK walkthrough: bootstrap resources, train, checkpoint, and sample through a serving deployment.</description></item><item><title>Training customization</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/customization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/customization/</guid><description/></item><item><title>Training Guide: UI</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/web-ui-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/web-ui-guide/</guid><description>Launch RFT jobs using the Fireworks dashboard</description></item><item><title>Training Prerequisites &amp; Validation</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-prerequisites/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-prerequisites/</guid><description>Requirements, validation checks, and common issues when launching RFT jobs</description></item><item><title>Training Shapes</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/training-shapes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/training-shapes/</guid><description>Pre-configured GPU and model training profiles that simplify distributed training setup.</description></item><item><title>Training with Jobs</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/jobs_training/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/jobs_training/</guid><description/></item><item><title>Triggers</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-triggers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-triggers/</guid><description>Configure triggers to start your Agent Builder agents automatically.</description></item><item><title>Triggers and Events Charter</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/triggers-events/charter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/triggers-events/charter/</guid><description>Charter for the MCP Triggers and Events Working Group.</description></item><item><title>TRL - Transformers Reinforcement Learning</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/_overview/</guid><description>&lt;p&gt;This overview maps the whole TRL post-training stack — SFT, reward modeling, DPO, PPO, GRPO, and more — so it matters as the decision page for which trainer fits your alignment goal. Focus on the taxonomy of online versus offline methods, since that split drives compute cost and data requirements more than any single hyperparameter. TRL integrates tightly with Transformers and PEFT, so you can train adapters rather than full models. Start here, then go to the SFT trainer, the most common starting point for instruction tuning.&lt;/p&gt;</description></item><item><title>Troubleshoot trace nesting</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/nest-traces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/nest-traces/</guid><description/></item><item><title>Troubleshoot variable caching</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/troubleshooting-variable-caching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/troubleshooting-variable-caching/</guid><description/></item><item><title>Troubleshoot Weave issues</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/troubleshooting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/troubleshooting/</guid><description>Solutions and guidance for common issues you may encounter with Weave</description></item><item><title>Troubleshooting</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/troubleshooting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/troubleshooting/</guid><description>Discover solutions to common issues with Claude Code installation and usage.</description></item><item><title>Troubleshooting</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/troubleshooting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/troubleshooting/</guid><description/></item><item><title>Troubleshooting</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/troubleshooting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/troubleshooting/</guid><description/></item><item><title>Troubleshooting</title><link>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/troubleshooting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/peft/v0.19.0/developer_guides/troubleshooting/</guid><description/></item><item><title>Troubleshooting</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/troubleshooting/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/troubleshooting/_overview/</guid><description/></item><item><title>Troubleshooting for self-hosted deployments</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/diagnostics-self-hosted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/diagnostics-self-hosted/</guid><description/></item><item><title>Troubleshooting Tool Use</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/troubleshooting-tool-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/troubleshooting-tool-use/</guid><description/></item><item><title>TrueFoundry</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/truefoundry/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/truefoundry/_overview/</guid><description/></item><item><title>TrueFoundry Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/truefoundry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/truefoundry/</guid><description/></item><item><title>TruLens</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/trulens/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/trulens/</guid><description>Using TruLens and Pinecone to evaluate grounded LLM applications</description></item><item><title>Twelve Labs</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/twelve-labs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/twelve-labs/</guid><description/></item><item><title>TXT RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/txtsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/txtsearchtool/</guid><description>The &amp;lsquo;TXTSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a text file.</description></item><item><title>Types</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/types/</guid><description>Documentation for the core types used in the Agent User Interaction Protocol SDK</description></item><item><title>Types</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/types/</guid><description>Documentation for the core types used in the Agent User Interaction Protocol Python SDK</description></item><item><title>Types of callbacks</title><link>https://learn-ai.blindshot.kz/docs/google/adk/callbacks/types-of-callbacks/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/callbacks/types-of-callbacks/_overview/</guid><description/></item><item><title>Typescript</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/typescript/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/typescript/</guid><description>&lt;p&gt;The TypeScript SDK mirrors the Python SDK&amp;rsquo;s architecture but leverages TypeScript&amp;rsquo;s type system to provide compile-time safety for agent configurations, tool definitions, and event handlers. If you are choosing between the two language SDKs, note that the Python SDK generally receives feature updates first, but the TypeScript SDK offers stronger typing guarantees that catch configuration errors before runtime. Pay attention to how generics are used for tool input/output types, as properly typing your tools will give you autocompletion and validation throughout your agent code. Read the quickstart guide first for the conceptual model, then use this reference for TypeScript-specific patterns and idioms.&lt;/p&gt;</description></item><item><title>TypeScript Guide</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-typescript-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-typescript-guide/</guid><description>TypeScript implementation guide</description></item><item><title>TypeScript Library</title><link>https://learn-ai.blindshot.kz/docs/together-ai/typescript-library/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/typescript-library/</guid><description/></item><item><title>TypeScript SDK: Third-Party Integration Guide</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/js/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/js/</guid><description>Integrate third-party libraries with the Weave TypeScript SDK</description></item><item><title>Typescript V2 Preview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/typescript-v2-preview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/typescript-v2-preview/</guid><description/></item><item><title>UI Guide</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/ui-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/ui-guide/</guid><description>Access W&amp;amp;B Inference models through the web interface</description></item><item><title>UI Kit Demo</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/ui-kit-demo/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/ui-kit-demo/</guid><description>Component demos for the platform docs UI kit.</description></item><item><title>Unable to pip install</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/unable-to-pip-install/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/unable-to-pip-install/</guid><description/></item><item><title>Under 18 API Guidance</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/safety-checks/under-18-api-guidance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/safety-checks/under-18-api-guidance/</guid><description>&lt;p&gt;This guide outlines OpenAI&amp;rsquo;s requirements and recommendations for API applications that may serve users under 18, covering content filtering, age-gating, and compliance considerations. If you are building an education, tutoring, or family-oriented product on the OpenAI API, this is mandatory reading &amp;ndash; non-compliance can result in API access revocation. Focus on the specific content categories that require additional filtering for minors, as these go beyond the default safety settings. The guidance here also has implications for your application&amp;rsquo;s terms of service and privacy policy, so loop in your legal and product teams early.&lt;/p&gt;</description></item><item><title>Understand Cost and Usage of Operations</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/metrics/_cost/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/metrics/_cost/_overview/</guid><description/></item><item><title>Understanding A2A</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/understanding-a2a-protocol/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/understanding-a2a-protocol/</guid><description>In-depth protocol explanation</description></item><item><title>Understanding collections</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/understanding-collections/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/understanding-collections/</guid><description>Create static backups of pod-based indexes with collections</description></item><item><title>Understanding cost</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-cost/understanding-cost/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-cost/understanding-cost/</guid><description>Understand how costs are incurred in Pinecone.</description></item><item><title>Understanding LoRA performance</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/understanding_lora_performance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/understanding_lora_performance/</guid><description>Understand the performance impact of LoRA fine-tuning, optimization strategies, and deployment considerations.</description></item><item><title>Understanding organizations</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/understanding-organizations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/understanding-organizations/</guid><description>Understand organization structure, projects, and billing.</description></item><item><title>Unit testing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/unit-testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/unit-testing/</guid><description>Test agent logic without API calls using fake chat models and in-memory persistence.</description></item><item><title>Unit testing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/unit-testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/unit-testing/</guid><description>Test agent logic without API calls using fake chat models and in-memory persistence.</description></item><item><title>Unlocking the Power of Multimodal Embeddings</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/multimodal-embeddings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/multimodal-embeddings/</guid><description>Multimodal embeddings convert text and images into embeddings for search and classification (API v2).</description></item><item><title>Unsloth Integration</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/unsloth_integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/unsloth_integration/</guid><description/></item><item><title>Unstructured</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/unstructured/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/unstructured/</guid><description/></item><item><title>Update</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/update/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/update/</guid><description>Check for CLI updates.</description></item><item><title>Update an artifact</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/update-an-artifact/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/artifacts/update-an-artifact/</guid><description>Update an existing Artifact inside and outside of a W&amp;amp;B Run.</description></item><item><title>Update and delete Calls</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/update-call/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/update-call/</guid><description>Modify display names, add feedback, and delete Calls in W&amp;amp;B Weave</description></item><item><title>Update Crew</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/update-crew/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/update-crew/</guid><description>Updating a Crew on CrewAI AMP</description></item><item><title>Update Cron</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/update-cron/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/update-cron/</guid><description>Update a cron job by ID.</description></item><item><title>Update Data</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/collections/update-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/collections/update-data/</guid><description>Learn how to update and upsert data in Chroma collections.</description></item><item><title>Update records</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/update-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/manage-data/update-data/</guid><description>Update vectors and metadata for existing records</description></item><item><title>Update Thread State</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/update-thread-state/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/update-thread-state/</guid><description>Add state to a thread.</description></item><item><title>Update W&amp;B license and version</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/server-upgrade-process/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/server-upgrade-process/</guid><description>Guide for updating W&amp;amp;B version and license across different installation methods.</description></item><item><title>Updates</title><link>https://learn-ai.blindshot.kz/docs/deepseek/updates/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/updates/</guid><description/></item><item><title>Upgrade an installation</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-upgrades/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-upgrades/</guid><description/></item><item><title>Upgrade your plan</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/upgrade-billing-plan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/admin/upgrade-billing-plan/</guid><description>Upgrade to a paid plan to access advanced features and limits.</description></item><item><title>Upgrade your plan</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/upgrade-billing-plan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/organizations/manage-billing/upgrade-billing-plan/</guid><description>Upgrade to a paid plan to access advanced features and limits.</description></item><item><title>Upgrading to GPT-5.4</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/upgrading-to-gpt-5p4/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/upgrading-to-gpt-5p4/</guid><description>Guidance for upgrading OpenAI API model strings and directly related prompts to GPT-5.4.</description></item><item><title>Upgrading to GPT-5.5</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/upgrading-to-gpt-5p5/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/upgrading-to-gpt-5p5/</guid><description>Guidance for upgrading OpenAI API model strings and directly related prompts to GPT-5.5.</description></item><item><title>Upload a LoRA Adapter</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/adapter-upload/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/adapter-upload/</guid><description>Bring Your Own Adapter: Upload your own LoRA adapter and run inference on Together AI</description></item><item><title>Upload a Model</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/custom-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/custom-models/</guid><description>Run inference on your custom or fine-tuned models</description></item><item><title>Upload files</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/upload-files/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/upload-files/</guid><description>Upload local files to an assistant.</description></item><item><title>Upload files with traces</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/upload-files-with-traces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/upload-files-with-traces/</guid><description/></item><item><title>Upload via REST API</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/models/uploading-custom-models-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/models/uploading-custom-models-api/</guid><description>Programmatically upload custom models using the Fireworks REST API</description></item><item><title>Upsert records</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/upsert-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/index-data/upsert-data/</guid><description>Add or update records in Pinecone indexes and manage data with namespaces.</description></item><item><title>Usage and pricing</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/usage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/usage/</guid><description>Understand token accounting, usage metrics, and cost estimation.</description></item><item><title>Usage Cost Api</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/usage-cost-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/usage-cost-api/</guid><description/></item><item><title>Usage information and limits</title><link>https://learn-ai.blindshot.kz/docs/wandb/training/serverless-rl/usage-limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/training/serverless-rl/usage-limits/</guid><description>Understand pricing, usage limits, and account restrictions for W&amp;amp;B Serverless RL</description></item><item><title>Usage Information and Limits</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/usage-limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/usage-limits/</guid><description>Understand pricing, usage limits, and account restrictions for W&amp;amp;B Inference</description></item><item><title>Usage Limits &amp; Analytics</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/billing-usage-limits/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/billing-usage-limits/</guid><description>Understanding account tiers, rate limits, model access, and cost analytics on Together AI.</description></item><item><title>Usage patterns for tool use (function calling)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-usage-patterns/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-usage-patterns/</guid><description>Guide on implementing various tool use patterns with the Cohere Chat endpoint such as parallel tool calling, multi-step tool use, and more (API v2).</description></item><item><title>Usage Policy</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/usage-policy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/usage-policy/</guid><description>Developers must outline and get approval for their use case to access the Cohere API, understanding the models and limitations. They should refer to model cards for detailed information and document potential harms of their application. Certain use cases, such as violence, hate speech, fraud, and privacy violations, are strictly prohibited.</description></item><item><title>Usage Stats Collection</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/usage_stats/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/usage_stats/</guid><description/></item><item><title>Use an Assistant MCP server</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/mcp-server/</guid><description>Connect AI agents to Pinecone Assistant via Model Context Protocol.</description></item><item><title>Use an existing secret for your installation (Kubernetes)</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-using-an-existing-secret/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-using-an-existing-secret/</guid><description/></item><item><title>Use annotation queues</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/annotation-queues/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/annotation-queues/</guid><description/></item><item><title>Use builtin scorers</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/builtin_scorers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/evaluation/builtin_scorers/</guid><description>Use Weave&amp;rsquo;s predefined scorers for evaluating your AI applications</description></item><item><title>Use Cases</title><link>https://learn-ai.blindshot.kz/docs/dspy/community/use-cases/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/community/use-cases/_overview/</guid><description/></item><item><title>Use Claude Code Desktop</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/desktop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/desktop/</guid><description>Get more out of Claude Code Desktop: parallel sessions with Git isolation, visual diff review, app previews, PR monitoring, permission modes, connectors, and enterprise configuration.</description></item><item><title>Use Claude Code in VS Code</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/vs-code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/vs-code/</guid><description>Install and configure the Claude Code extension for VS Code. Get AI coding assistance with inline diffs, @-mentions, plan review, and keyboard shortcuts.</description></item><item><title>Use Claude Code with Chrome (beta)</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/chrome/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/chrome/</guid><description>Connect Claude Code to your Chrome browser to test web apps, debug with console logs, automate form filling, and extract data from web pages.</description></item><item><title>Use cron jobs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cron-jobs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cron-jobs/</guid><description/></item><item><title>Use environment variables for model providers</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-playground-environment-settings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-playground-environment-settings/</guid><description/></item><item><title>Use federated identities with SDK</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/identity_federation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/identity_federation/</guid><description/></item><item><title>Use Fireworks Agent with Claude Code, Cursor, Codex, and other coding agents</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/use-with-coding-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/use-with-coding-agents/</guid><description>Install the Fireworks Agent skill file once and drive end-to-end fine-tuning from your coding agent.</description></item><item><title>Use HTTP headers for runtime configuration</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configurable-headers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configurable-headers/</guid><description/></item><item><title>Use model after training</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/use_model/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/use_model/</guid><description/></item><item><title>Use Prometheus monitoring</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/monitoring-usage/prometheus-logging/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/monitoring-usage/prometheus-logging/</guid><description/></item><item><title>Use server-side caching</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/caching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/caching/</guid><description>Cache values server-side in your agent deployment using stale-while-revalidate and key-value cache APIs.</description></item><item><title>Use Serverless LoRA Inference</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/lora/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/lora/</guid><description>Bring your own custom LoRA for serving fine-tuned models on W&amp;amp;B Inference.</description></item><item><title>Use service accounts to automate workflows</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/service-accounts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/iam/service-accounts/</guid><description>Manage automated or non-interactive workflows using org and team scoped service accounts</description></item><item><title>Use the functional API</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/use-functional-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/use-functional-api/</guid><description/></item><item><title>Use the functional API</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/use-functional-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/use-functional-api/</guid><description/></item><item><title>Use the graph API</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/use-graph-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/use-graph-api/</guid><description/></item><item><title>Use the graph API</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/use-graph-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/use-graph-api/</guid><description/></item><item><title>Use the Pinecone MCP server</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/mcp-server/</guid><description>Use Pinecone MCP server for AI agent integration.</description></item><item><title>Use the Playground to experiment with prompts</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/playground/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/playground/</guid><description>Simplify the process of iterating on LLM prompts and responses</description></item><item><title>Use threads</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/use-threads/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/use-threads/</guid><description/></item><item><title>Use time-travel</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/use-time-travel/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/use-time-travel/</guid><description/></item><item><title>Use time-travel</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/use-time-travel/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/use-time-travel/</guid><description/></item><item><title>Use tools in a prompt</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/use-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/use-tools/</guid><description/></item><item><title>Use trace plots</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-plots/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-plots/</guid><description>Visualize and debug trace-level metrics with interactive charts in Weave, exploring latency, cost, and token usage patterns through default and custom plots to optimize LLM application performance.</description></item><item><title>Use W&amp;B Skills</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/wb-skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/wb-skills/</guid><description>Install W&amp;amp;B Skills to teach your coding agent how to train models, build agents, and analyze experiments using W&amp;amp;B&amp;rsquo;s AI development platform.</description></item><item><title>Use Weave with W&amp;B training runs</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/weave-in-workspaces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tools/weave-in-workspaces/</guid><description>Integrate Weave traces with W&amp;amp;B training runs to gain deep visibility into model behavior during training, capturing function execution details and diagnostics alongside traditional ML metrics in customizable workspace dashboards.</description></item><item><title>Use webhooks</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/use-webhooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/use-webhooks/</guid><description/></item><item><title>Use your trained models</title><link>https://learn-ai.blindshot.kz/docs/wandb/training/serverless-rl/use-trained-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/training/serverless-rl/use-trained-models/</guid><description>Make inference requests to the models you&amp;rsquo;ve trained</description></item><item><title>User Input</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/user-input/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/user-input/</guid><description/></item><item><title>User management</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/user-management/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/user-management/</guid><description/></item><item><title>User Simulation</title><link>https://learn-ai.blindshot.kz/docs/google/adk/evaluate/user-sim/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/evaluate/user-sim/_overview/</guid><description/></item><item><title>Using Annotations in crew.py</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/using-annotations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/using-annotations/</guid><description>Learn how to use annotations to properly structure agents, tasks, and components in CrewAI</description></item><item><title>Using Cohere models via the OpenAI SDK</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/compatibility-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/compatibility-api/</guid><description>The document serves as a guide for Cohere&amp;rsquo;s Compatibility API, which allows developers to seamlessly use Cohere&amp;rsquo;s models using OpenAI&amp;rsquo;s SDK.</description></item><item><title>Using Cohere's Models to Work with Image Inputs</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/image-inputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/image-inputs/</guid><description>This page describes how a Cohere large language model works with image inputs. It covers passing images with the API, limitations, and best practices.</description></item><item><title>Using CrewAI Without LiteLLM</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/litellm-removal-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/litellm-removal-guide/</guid><description>How to use CrewAI with native provider integrations and remove the LiteLLM dependency from your project.</description></item><item><title>Using Multimodal Agents</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/multimodal-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/multimodal-agents/</guid><description>Learn how to enable and use multimodal capabilities in your agents for processing images and other non-text content within the CrewAI framework.</description></item><item><title>Using Pre-chunked Data</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/prechunked_data/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/customizations/testgenerator/prechunked_data/_overview/</guid><description/></item><item><title>Using predicted outputs</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/predicted-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/predicted-outputs/</guid><description>Use Predicted Outputs to boost output generation speeds for editing / rewriting use cases</description></item><item><title>Using realtime models</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-models-prompting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-models-prompting/</guid><description>Prompting strategies and usage patterns for OpenAI&amp;rsquo;s realtime voice and multimodal models via WebSocket connections.</description></item><item><title>Using Secrets</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/using-secret-in-evaluator/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/using-secret-in-evaluator/</guid><description>Learn how to create secrets that can be utilized within your reward function.</description></item><item><title>Using standard tests</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/standard-tests-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/contributing/standard-tests-langchain/</guid><description/></item><item><title>Using standard tests</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/standard-tests-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/contributing/standard-tests-langchain/</guid><description/></item><item><title>Using the Cohere Chat API for Text Generation</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/chat-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/chat-api/</guid><description>How to use the Chat API endpoint with Cohere LLMs to generate text responses in a conversational interface</description></item><item><title>Using tools</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools/</guid><description>Extend model capabilities with tools — built-in (web search, file search, code interpreter) and custom (function calling, remote MCP servers).</description></item><item><title>v1 API</title><link>https://learn-ai.blindshot.kz/docs/cohere/v1/llms/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/v1/llms/</guid><description/></item><item><title>Vacuum</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/vacuum/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/cli/vacuum/</guid><description>Shrink and optimize your Chroma database.</description></item><item><title>Vector embeddings</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/embeddings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/embeddings/</guid><description>Learn how to turn text into numbers, unlocking use cases like search, clustering, and more with OpenAI API embeddings.</description></item><item><title>Vercel</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/vercel/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/vercel/</guid><description/></item><item><title>Vercel AI</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/ui/vercel-ai/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/ui/vercel-ai/_overview/</guid><description/></item><item><title>Verdict</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/verdict/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/verdict/</guid><description>Use Verdict evaluation framework with Weave to trace and monitor your LLM evaluation pipelines</description></item><item><title>Verifiers</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/verifiers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/verifiers/</guid><description>Track and debug Verifiers RL environments and LLM agent training with Weave, capturing multi-round conversations, evaluation rollouts, and model performance metrics for comprehensive observability of reinforcement learning workflows.</description></item><item><title>Version policy</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/version-policy/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/version-policy/_overview/</guid><description/></item><item><title>Versioning</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/versioning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/api/versioning/</guid><description/></item><item><title>Versioning</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/versioning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/versioning/</guid><description/></item><item><title>Versioning</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/versioning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/versioning/</guid><description/></item><item><title>Versioning Published MCP Servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/versioning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/versioning/</guid><description>&lt;p&gt;Getting versioning right is essential for MCP server publishers because clients may pin to specific versions, and breaking changes without a major version bump will silently break downstream integrations. Pay close attention to how semantic versioning interacts with registry resolution rules and what happens when you publish a version that a client cannot upgrade to automatically. If you maintain servers consumed by multiple host applications, read this alongside the package types guide to understand how versioning constraints differ across package formats.&lt;/p&gt;</description></item><item><title>Vertex AI</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/vertex/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/vertex/_overview/</guid><description/></item><item><title>Vertex AI</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/vertex/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/cloud/vertex/</guid><description>Deploy and query Mistral AI models on Google Cloud Vertex AI as serverless endpoints</description></item><item><title>Vertex AI hosted</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/vertex/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/vertex/_overview/</guid><description/></item><item><title>Vertex AI Search Grounding</title><link>https://learn-ai.blindshot.kz/docs/google/adk/grounding/vertex_ai_search_grounding/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/grounding/vertex_ai_search_grounding/_overview/</guid><description/></item><item><title>Vespa and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/vespa-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/vespa-and-cohere/</guid><description>This page describes how to integrate Cohere with the Vespa database.</description></item><item><title>Vibe Coding</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/vibe-coding/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/vibe-coding/</guid><description/></item><item><title>Video &amp; Audio Inputs</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/video-audio-inputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/video-audio-inputs/</guid><description>Query multimodal models to process video and audio content directly</description></item><item><title>Video generation with Sora</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/video-generation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/video-generation/</guid><description>Learn how to generate, refine, and manage videos using the OpenAI Sora Video API.</description></item><item><title>Video Generation with Wan 2.1</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated_containers_video/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/dedicated_containers_video/</guid><description>Deploy a multi-GPU video generation model on Together&amp;rsquo;s managed GPU infrastructure using Dedicated Containers.</description></item><item><title>View an automation's history</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/automations/view-automation-history/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/automations/view-automation-history/</guid><description/></item><item><title>View and customize trace display</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/view-call/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/view-call/</guid><description>View calls in the UI and customize how trace data is displayed</description></item><item><title>View experiments results</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/track/workspaces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/track/workspaces/</guid><description>A playground for exploring run data with interactive visualizations</description></item><item><title>View organization activity</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/monitoring-usage/org_dashboard/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/monitoring-usage/org_dashboard/</guid><description/></item><item><title>View reasoning information</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/reasoning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/reasoning/</guid><description>How to return and view reasoning in your W&amp;amp;B Inference responses</description></item><item><title>View server logs for a trace</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/platform-logs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/platform-logs/</guid><description/></item><item><title>View trace counts across your organization</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-organization-charts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/self-host-organization-charts/</guid><description/></item><item><title>Vision</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/vision/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/vision/</guid><description>Multimodal AI models analyze images and text for insights, supporting use cases like OCR, chart understanding, and receipt transcription</description></item><item><title>Vision fine-tuning</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/vision-fine-tuning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/vision-fine-tuning/</guid><description>Fine-tune models for better image understanding.</description></item><item><title>Vision Inputs</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/vision-inputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/vision-inputs/</guid><description>Fine-tune vision-language models (VLMs) with the Training API using multimodal chat data containing images and text.</description></item><item><title>Vision Models</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/querying-vision-language-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/querying-vision-language-models/</guid><description>Query vision-language models to analyze images and visual content</description></item><item><title>Vision Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/visiontool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/visiontool/</guid><description>The &amp;lsquo;VisionTool&amp;rsquo; is designed to extract text from images.</description></item><item><title>Vision-Language Fine-tuning</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-vlm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/fine-tuning-vlm/</guid><description>Learn how to fine-tune Vision-Language Models (VLMs) on image+text data using Together AI.</description></item><item><title>Visual Builder</title><link>https://learn-ai.blindshot.kz/docs/google/adk/visual-builder/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/visual-builder/_overview/</guid><description/></item><item><title>Visualization</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/visualization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/visualization/</guid><description>Embed tracing dashboards and visualize agent runs directly in notebooks and web apps.</description></item><item><title>Visualize and analyze tables</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/tables/visualize-tables/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/tables/visualize-tables/</guid><description>Visualize and analyze W&amp;amp;B Tables.</description></item><item><title>Visualize CoreWeave infrastructure alerts</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/runs/infrastructure-alerts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/runs/infrastructure-alerts/</guid><description/></item><item><title>Visualize sweep results</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/visualize-sweep-results/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/visualize-sweep-results/</guid><description>Visualize the results of your W&amp;amp;B Sweeps with the W&amp;amp;B App UI.</description></item><item><title>vLLM</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/vllm/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/vllm/_overview/</guid><description/></item><item><title>vLLM</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/vllm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/self-deployment/vllm/</guid><description>vLLM is an open-source LLM inference engine optimized for deploying Mistral models on-premise</description></item><item><title>vLLM Integration</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/vllm_integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/vllm_integration/</guid><description/></item><item><title>Voice agents</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/voice-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/voice-agents/</guid><description>Learn how to build agents that can work with audio and speech.</description></item><item><title>Voice dictation</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/voice-dictation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/voice-dictation/</guid><description>Use push-to-talk voice dictation to speak your prompts instead of typing them in the Claude Code CLI.</description></item><item><title>Voice pipeline</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/voice/pipeline/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/voice/pipeline/</guid><description>Customize audio ingestion, tool execution, and response rendering.</description></item><item><title>VoltAgent</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/voltagent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/voltagent/</guid><description/></item><item><title>VoltAgent</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/voltagent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/voltagent/</guid><description/></item><item><title>Voyage AI</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/voyage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/voyage/</guid><description>Using Voyage AI and Pinecone to generate and index high-quality vector embeddings</description></item><item><title>VoyageAI</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/voyageai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/embedding-models/voyageai/</guid><description/></item><item><title>W&amp;B Courses</title><link>https://learn-ai.blindshot.kz/docs/wandb/courses/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/courses/</guid><description/></item><item><title>W&amp;B Inference</title><link>https://learn-ai.blindshot.kz/docs/wandb/product-inference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/product-inference/</guid><description/></item><item><title>W&amp;B Mobile App (iOS)</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/monitoring-usage/mobile-app/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/monitoring-usage/mobile-app/</guid><description>Track training runs, view line plots, and explore your W&amp;amp;B Models projects from your iPhone or iPad.</description></item><item><title>W&amp;B Models</title><link>https://learn-ai.blindshot.kz/docs/wandb/product-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/product-models/</guid><description/></item><item><title>W&amp;B Platform Security</title><link>https://learn-ai.blindshot.kz/docs/wandb/security/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/security/</guid><description/></item><item><title>W&amp;B Pricing</title><link>https://learn-ai.blindshot.kz/docs/wandb/pricing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/pricing/</guid><description/></item><item><title>W&amp;B Training</title><link>https://learn-ai.blindshot.kz/docs/wandb/product-training/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/product-training/</guid><description/></item><item><title>W&amp;B Weave</title><link>https://learn-ai.blindshot.kz/docs/wandb/product-weave/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/product-weave/</guid><description/></item><item><title>Wait for index creation to be complete</title><link>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/wait-for-index-creation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/troubleshooting/wait-for-index-creation/</guid><description/></item><item><title>Warm Start from Fine-Tuned Models</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/warm-start/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/warm-start/</guid><description>Continue training from a previously fine-tuned model with RFT</description></item><item><title>Weave Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/weave/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/weave/</guid><description>Learn how to use Weights &amp;amp; Biases (W&amp;amp;B) Weave to track, experiment with, evaluate, and improve your CrewAI applications.</description></item><item><title>Weaviate and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/weaviate-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/weaviate-and-cohere/</guid><description>This page describes how to integrate Cohere with the Weaviate database.</description></item><item><title>Weaviate Vector Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/weaviatevectorsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/weaviatevectorsearchtool/</guid><description>The &amp;lsquo;WeaviateVectorSearchTool&amp;rsquo; is designed to search a Weaviate vector database for semantically similar documents using hybrid search.</description></item><item><title>Web Chat UI</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/web/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/web/_overview/</guid><description/></item><item><title>Web Fetch Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/web-fetch-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/web-fetch-tool/</guid><description>&lt;p&gt;The web fetch tool is an Anthropic-provided built-in tool that lets Claude retrieve content from URLs during a conversation, converting HTML to markdown for processing. This is a key building block for agents that need to access live web data, documentation, or API responses without requiring you to build custom tool infrastructure. Note that authenticated URLs will fail since the tool operates without session cookies or tokens, so you need alternative approaches for private resources. Compare this with the web search tool, which discovers URLs, whereas web fetch retrieves content from known URLs you or the model already have.&lt;/p&gt;</description></item><item><title>Web Interface</title><link>https://learn-ai.blindshot.kz/docs/google/adk/runtime/web-interface/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/runtime/web-interface/_overview/</guid><description/></item><item><title>Web search</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-web-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-web-search/</guid><description>Built-in web search tool that lets models search the internet for current information before generating responses — grounding outputs in real-time data.</description></item><item><title>Web Search Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/web-search-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/web-search-tool/</guid><description>&lt;p&gt;The web search tool gives Claude the ability to query search engines and incorporate up-to-date information into its responses, directly addressing the knowledge cutoff limitation inherent to all LLMs. This is essential for agents that need to answer questions about current events, recent software releases, or rapidly changing documentation. Be mindful that search results are summaries, not full page content &amp;ndash; pair this tool with the web fetch tool when you need to deeply read a specific result. Search queries constructed by the model can sometimes be overly broad, so providing domain filtering constraints improves relevance significantly.&lt;/p&gt;</description></item><item><title>Web Sync</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/sync/web/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/sync/web/</guid><description>Crawl and sync website content into Chroma Cloud.</description></item><item><title>Webhook Automation</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/webhook-automation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/webhook-automation/</guid><description>Automate CrewAI AMP workflows using webhooks with platforms like ActivePieces, Zapier, and Make.com</description></item><item><title>Webhook Streaming</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/webhook-streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/webhook-streaming/</guid><description>Using Webhook Streaming to stream events to your webhook</description></item><item><title>Webhooks</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/webhooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/webhooks/</guid><description>Use webhooks to receive real-time updates from the OpenAI API.</description></item><item><title>Webhooks and server-side controls</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-server-controls/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/realtime-server-controls/</guid><description>Learn how to use webhooks and server-side controls with the Realtime API.</description></item><item><title>Website RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/websitesearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/websitesearchtool/</guid><description>The &amp;lsquo;WebsiteSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a website.</description></item><item><title>WebSocket Mode</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/websocket-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/websocket-mode/</guid><description>Learn how to use Responses API WebSocket mode with response.create and previous_response_id.</description></item><item><title>Week 13 · March 23–27, 2026</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/whats-new/2026-w13/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/whats-new/2026-w13/</guid><description>Auto mode for hands-off permissions, computer use built in, PR auto-fix in the cloud, transcript search, and a PowerShell tool for Windows.</description></item><item><title>Week 14 · March 30 – April 3, 2026</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/whats-new/2026-w14/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/whats-new/2026-w14/</guid><description>Computer use in the CLI, interactive in-product lessons, flicker-free rendering, per-tool MCP result-size overrides, and plugin executables on PATH.</description></item><item><title>Weighted Training</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/weighted-training/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/weighted-training/</guid><description>Control which samples have greater influence during RFT training</description></item><item><title>Weights &amp; Biases Documentation</title><link>https://learn-ai.blindshot.kz/docs/wandb/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/_overview/</guid><description>View the documentation for all Weights &amp;amp; Biases products</description></item><item><title>Welcome to LLM University!</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/llmu-2/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/llmu-2/</guid><description>LLM University (LLMU) offers in-depth, practical NLP and LLM training. Ideal for all skill levels. Learn, build, and deploy Language AI with Cohere.</description></item><item><title>What is the Model Context Protocol (MCP)?</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/getting-started/intro/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/getting-started/intro/</guid><description>&lt;p&gt;This is the single best starting point for understanding MCP. Focus on the core value proposition: MCP standardizes how AI applications connect to external data and tools, replacing fragile one-off integrations with a shared protocol. Pay attention to the analogy with USB-C — MCP aims to be a universal connector between LLMs and the systems they need to interact with. The original page also covers building MCP Apps — interactive apps that run inside AI clients — via the &lt;a href="https://modelcontextprotocol.io/extensions/apps/overview"&gt;MCP Apps overview&lt;/a&gt;. Read this before diving into architecture or specification pages.&lt;/p&gt;</description></item><item><title>What's new</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/whats-new/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/whats-new/_overview/</guid><description>A weekly digest of notable Claude Code features, with code snippets, demos, and context on why they matter.</description></item><item><title>What's New</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/development/updates/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/development/updates/</guid><description>The latest updates and improvements to AG-UI</description></item><item><title>What's new in LangChain v1</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/releases/langchain-v1/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/releases/langchain-v1/</guid><description/></item><item><title>What's new in LangChain v1</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/releases/langchain-v1/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/releases/langchain-v1/</guid><description/></item><item><title>What's new in LangGraph v1</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/releases/langgraph-v1/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/releases/langgraph-v1/</guid><description/></item><item><title>What's new in LangGraph v1</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/releases/langgraph-v1/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/releases/langgraph-v1/</guid><description/></item><item><title>Whats New Claude 4 6</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/models/whats-new-claude-4-6/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/models/whats-new-claude-4-6/</guid><description/></item><item><title>Which model should I use?</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/recommended-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/recommended-models/</guid><description>Find the best open models for your use case or migrate from closed source models like Claude, GPT, and Gemini</description></item><item><title>Why Evaluate Agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/evaluate/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/evaluate/_overview/</guid><description/></item><item><title>Wikipedia Semantic Search with Cohere + Weaviate</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/wikipedia-search-with-weaviate/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/wikipedia-search-with-weaviate/</guid><description>This page contains a description of building a Wikipedia-focused search engine with Cohere&amp;rsquo;s LLM platform and the Weaviate vector database.</description></item><item><title>Wikipedia Semantic Search with Cohere Embedding Archives</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/wikipedia-semantic-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/wikipedia-semantic-search/</guid><description>This page contains a description of building a Wikipedia-focused semantic search engine with Cohere&amp;rsquo;s LLM platform and the Weaviate vector database.</description></item><item><title>Workflows and agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/workflows-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/workflows-agents/</guid><description/></item><item><title>Workflows and agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/workflows-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/workflows-agents/</guid><description>&lt;p&gt;This guide draws the critical distinction between deterministic workflows and autonomous agents in LangGraph, which is the most important conceptual decision you make when designing a LangGraph application. Workflows use predefined edges and conditional branching, while agents use LLM-driven decisions to determine the next step. Understanding when to choose each pattern, and when to combine them, directly impacts the reliability, cost, and debuggability of your application. Start here before diving into specific LangGraph features like memory or streaming, as the workflow-vs-agent framing shapes every subsequent design choice.&lt;/p&gt;</description></item><item><title>Working and Interest Groups</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/working-interest-groups/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/working-interest-groups/</guid><description>Learn about the two forms of collaborative groups within the Model Context Protocol&amp;rsquo;s governance structure - Working Groups and Interest Groups.</description></item><item><title>Working with evals</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/evals/</guid><description>Build, run, and iterate on evaluations to systematically test and improve AI model outputs — OpenAI&amp;rsquo;s practical guide to eval-driven development.</description></item><item><title>Workload isolation</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/workload-isolation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/workload-isolation/</guid><description/></item><item><title>Workspace setup</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-setup/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-setup/</guid><description>Add required workspace secrets for models and tools used by Agent Builder.</description></item><item><title>Workspace setup</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/setup/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/setup/</guid><description>Add required workspace secrets for models and tools used by Fleet.</description></item><item><title>Workspaces</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/workspaces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/workspaces/</guid><description/></item><item><title>Workspaces</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/laplateforme/organization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/deployment/laplateforme/organization/</guid><description>La Plateforme workspaces enable team collaboration, access control, and shared fine-tuned models.&amp;rsquo; (99 characters)</description></item><item><title>Write your prompt with AI</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/write-prompt-with-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/write-prompt-with-ai/</guid><description/></item><item><title>Writer</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/writer/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/writer/_overview/</guid><description/></item><item><title>xAI</title><link>https://learn-ai.blindshot.kz/docs/instructor/integrations/xai/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/integrations/xai/_overview/</guid><description/></item><item><title>xAI</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/xai/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/models/xai/_overview/</guid><description/></item><item><title>XGBoost</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/xgboost/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/xgboost/</guid><description>Track your trees with W&amp;amp;B.</description></item><item><title>XML RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/xmlsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/xmlsearchtool/</guid><description>The &amp;lsquo;XMLSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a XML file.</description></item><item><title>XPO Trainer</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/xpo_trainer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/xpo_trainer/</guid><description/></item><item><title>YOLOv5</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/yolov5/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/yolov5/</guid><description/></item><item><title>YOLOX</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/yolox/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/integrations/yolox/</guid><description>How to integrate W&amp;amp;B with YOLOX.</description></item><item><title>YouTube Channel RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubechannelsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubechannelsearchtool/</guid><description>The &amp;lsquo;YoutubeChannelSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a Youtube channel.</description></item><item><title>YouTube Video RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubevideosearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubevideosearchtool/</guid><description>The &amp;lsquo;YoutubeVideoSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a Youtube video.</description></item><item><title>Zapier</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/zapier/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/zapier/</guid><description/></item><item><title>Zapier Actions Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/zapieractionstool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/zapieractionstool/</guid><description>The &amp;lsquo;ZapierActionsAdapter&amp;rsquo; exposes Zapier actions as CrewAI tools for automation.</description></item><item><title>Zapier Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/zapier-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/zapier-trigger/</guid><description>Trigger CrewAI crews from Zapier workflows to automate cross-app workflows</description></item><item><title>Zendesk Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/zendesk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/zendesk/</guid><description>Customer support and helpdesk management with Zendesk integration for CrewAI.</description></item><item><title>Zeno</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_zeno/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_zeno/_overview/</guid><description/></item><item><title>Zero Data Retention</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/zero-data-retention/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/zero-data-retention/</guid><description/></item><item><title>Zero Data Retention</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/security_compliance/data_handling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/guides/security_compliance/data_handling/</guid><description>Data retention policies at Fireworks</description></item><item><title>Zilliz and Cohere (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/zilliz-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/zilliz-and-cohere/</guid><description>This page describes how to integrate Cohere with the Zilliz database.</description></item></channel></rss>