<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cohere on AI Knowledge Base</title><link>https://learn-ai.blindshot.kz/source/cohere/</link><description>Recent content in Cohere on AI Knowledge Base</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://learn-ai.blindshot.kz/source/cohere/index.xml" rel="self" type="application/rss+xml"/><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>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>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>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>An Overview of Cohere's Models</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/models/</guid><description>Cohere has a variety of models that cover many different use cases. If you need more customization, you can train a model to tune it to your specific use case.</description></item><item><title>An Overview of Cohere's Rerank Model</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/rerank-overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/rerank-overview/</guid><description>This page describes how Cohere&amp;rsquo;s Rerank models work.</description></item><item><title>An Overview of The Cohere Platform</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/the-cohere-platform/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/the-cohere-platform/</guid><description>Cohere offers world-class Large Language Models (LLMs) like Command, Rerank, and Embed. These help developers and enterprises build LLM-powered applications.</description></item><item><title>An Overview of the Developer Playground</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/playground-overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/playground-overview/</guid><description>The Cohere Playground is a powerful visual interface for testing Cohere&amp;rsquo;s generation and embedding language models without coding.</description></item><item><title>An Overview of Tool Use with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tools/</guid><description>Learn when to use leverage multi-step tool use in your workflows.</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>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>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>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>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>Basic usage of tool use (function calling)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-overview/</guid><description>Overview of Cohere&amp;rsquo;s tool use system for building agentic workflows — with native citation support that links tool results back to generated text.</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>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>Build a SQL Agent with Cohere's LLM Platform</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/sql-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/sql-agent/</guid><description>This page contains a tutorial on how to build a SQL agent with Cohere&amp;rsquo;s LLM platform.</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>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 Agentic RAG with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/agentic-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/agentic-rag/</guid><description>Hands-on tutorials on building agentic RAG applications with Cohere</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 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>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>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>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>Cohere and LangChain (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-and-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-and-langchain/</guid><description>Integrate Cohere with LangChain for advanced chat features, RAG, embeddings, and reranking; this guide includes code examples for each feature.</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 Cookbooks: Build AI Agents and Solutions</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cookbooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cookbooks/</guid><description>Get started with Cohere&amp;rsquo;s cookbooks to build agents, QA bots, perform searches, and more, all organized by category.</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 Text Generation Tutorial</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/text-generation-tutorial/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/text-generation-tutorial/</guid><description>This page walks through how Cohere&amp;rsquo;s generation models work and how to use them.</description></item><item><title>Cohere Tools on LangChain (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tools-on-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tools-on-langchain/</guid><description>Explore code examples for multi-step and single-step tool usage in chatbots, harnessing internet search and vector storage.</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 A Vision Model</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a-vision/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a-vision/</guid><description>Command A Vision is a powerful visual language model capable of interacting with image inputs. This document contains information about its capabilities.</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>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 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>Cookbooks</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/cookbooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/cookbooks/</guid><description>Explore a range of AI guides and get started with Cohere&amp;rsquo;s generative platform, ready-made and best-practice optimized.</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>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>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 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 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>Deployment Options - Overview</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/deployment-options-overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/deployment-options-overview/</guid><description>This page provides an overview of the available options for deploying Cohere&amp;rsquo;s models.</description></item><item><title>Deprecations</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/deprecations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/deprecations/</guid><description>Learn about Cohere&amp;rsquo;s deprecation policies and recommended replacements</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>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>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>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>End-to-end example of RAG with Chat, Embed, and Rerank</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-complete-example/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-complete-example/</guid><description>Guide on using Cohere&amp;rsquo;s Retrieval Augmented Generation (RAG) capabilities covering the Chat, Embed, and Rerank endpoints (API v2).</description></item><item><title>End-to-end RAG using Elasticsearch and Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/elasticsearch-and-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/elasticsearch-and-cohere/</guid><description>This page contains a basic tutorial on how to get Cohere and ElasticSearch to work well together.</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>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>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>Finetuning on Cohere's Platform</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/convfinqa-finetuning-wandb/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/convfinqa-finetuning-wandb/</guid><description>An example of finetuning using Cohere&amp;rsquo;s platform and a financial dataset.</description></item><item><title>Frequently Asked Questions About Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-faqs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-faqs/</guid><description>Cohere is a powerful platform for using Large Language Models (LLMs). This page covers FAQs related to functionality, pricing, troubleshooting, and more.</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>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>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>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>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>Grounded Summarization Using Command R</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/grounded-summarization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/grounded-summarization/</guid><description>This page contains a basic tutorial on how to do grounded summarization with Cohere&amp;rsquo;s models.</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>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>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 Does Cohere's Pricing Work?</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/how-does-cohere-pricing-work/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/how-does-cohere-pricing-work/</guid><description>This page details Cohere&amp;rsquo;s pricing model. Our models can be accessed directly through our API, allowing for the creation of scalable production workloads.</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 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>Installation</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/get-started-installation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/get-started-installation/</guid><description>A guide for installing the Cohere SDK, supported in 4 different languages – Python, TypeScript, Java, and Go.</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>Introduction to Aya Vision</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/aya-vision-intro/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/aya-vision-intro/</guid><description>In this notebook, we will explore the capabilities of Aya Vision, which can take text and image inputs to generates text responses.</description></item><item><title>Introduction to Cohere on Azure AI Foundry</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/cohere-on-azure-ai-foundry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/cohere-on-azure-ai-foundry/</guid><description>An introduction to Cohere on Azure AI Foundry, a fully managed service by Azure (API v2).</description></item><item><title>Introduction to Embeddings at Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/embeddings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/embeddings/</guid><description>Embeddings transform text into numerical data, enabling language-agnostic similarity searches and efficient storage with compression.</description></item><item><title>Introduction to Text Generation at Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/introduction-to-text-generation-at-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/introduction-to-text-generation-at-cohere/</guid><description>This page describes how a large language model generates textual output.</description></item><item><title>Learn How Cohere's Rerank Models Work</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/rerank-demo/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/rerank-demo/</guid><description>This page contains a basic tutorial on how Cohere&amp;rsquo;s ReRank models work and how to use them.</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>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>Master Reranking with Cohere Models</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/reranking-with-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/reranking-with-cohere/</guid><description>This page contains a tutorial on using Cohere&amp;rsquo;s ReRank models.</description></item><item><title>Migrating away from create_csv_agent in langchain-cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/migrate-csv-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/migrate-csv-agent/</guid><description>This page contains a tutorial on how to build a CSV agent without the deprecated create_csv_agent abstraction in langchain-cohere v0.3.5 and beyond.</description></item><item><title>Migrating From API v1 to API v2</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/migrating-v1-to-v2/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/migrating-v1-to-v2/</guid><description>The document serves as a reference for developers looking to update their existing Cohere API v1 implementations to the new v2 standard.</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>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>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>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>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>Multilingual Search with Cohere and Langchain</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/multilingual-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/multilingual-search/</guid><description>This page contains a basic tutorial on how to do search across different languages with Cohere&amp;rsquo;s LLM platform.</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>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>Parameter types for tool use (function calling)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-parameter-types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-parameter-types/</guid><description>Guide on using structured outputs with tool parameters in the Cohere Chat API. Includes guide on supported parameter types and usage examples (API v2).</description></item><item><title>Parameter Types in Structured Outputs (JSON)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/parameter-types-in-json/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/parameter-types-in-json/</guid><description>This page shows usage examples of the JSON Schema parameter types supported in Structured Outputs (JSON).</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>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>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>Pondr, Fostering Connection through Good Conversation</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/pondr/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/pondr/</guid><description>This page contains a basic tutorial on how tplay an AI-powered version of the icebreaking game &amp;lsquo;Pondr&amp;rsquo;.</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 Overview</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/private-deployment-overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/private-deployment-overview/</guid><description>This page provides an overview of 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>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>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>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 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 With Chat Embed and Rerank via Pinecone</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/rag-with-chat-embed/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/rag-with-chat-embed/</guid><description>This page contains a basic tutorial on how to build a RAG-powered chatbot.</description></item><item><title>Reasoning Capabilities</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/reasoning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/reasoning/</guid><description>Reasoning models excel at tool use, agentic workflows, and complex problem-solving. This page provides a general overview of Cohere&amp;rsquo;s reasoning capalities.</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>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>Reranking - quickstart</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/reranking-quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/reranking-quickstart/</guid><description>A quickstart guide for performing reranking with Cohere&amp;rsquo;s Reranking models (v2 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>Retrieval augmented generation (RAG) - quickstart</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-quickstart/</guid><description>A quickstart guide for performing retrieval augmented generation (RAG) with Cohere&amp;rsquo;s Command models (v2 API).</description></item><item><title>Retrieval evaluation using LLM-as-a-judge via Pydantic AI</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/retrieval-eval-pydantic-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/retrieval-eval-pydantic-ai/</guid><description>This page contains a tutorial on how to evaluate retrieval systems using LLMs as judges via Pydantic AI.</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>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>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>Semantic search - quickstart</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/sem-search-quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/sem-search-quickstart/</guid><description>A quickstart guide for performing text semantic search with Cohere&amp;rsquo;s Embed models (v2 API).</description></item><item><title>Semantic Search with Cohere Embed Jobs</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/embed-jobs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/embed-jobs/</guid><description>This page contains a basic tutorial on how to use Cohere&amp;rsquo;s Embed Jobs functionality.</description></item><item><title>Semantic Search with Cohere Models</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/semantic-search-with-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/semantic-search-with-cohere/</guid><description>This is a tutorial describing how to leverage Cohere&amp;rsquo;s models for semantic search.</description></item><item><title>Semantic Search with Embeddings</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/semantic-search-embed/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/semantic-search-embed/</guid><description>Examples on how to use the Embed endpoint to perform semantic search (API v2).</description></item><item><title>Serverless Semantic Search with Cohere and Pinecone</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/embed-jobs-serverless-pinecone/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/embed-jobs-serverless-pinecone/</guid><description>This page contains a basic tutorial on how to get Cohere and the Pinecone vector database to work well together.</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>SQL Agent with Cohere and LangChain (i-5O Case Study)</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/sql-agent-cohere-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/sql-agent-cohere-langchain/</guid><description>This page contains a tutorial on how to build a SQL agent with Cohere and LangChain in the manufacturing industry.</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>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>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 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 - quickstart</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/text-gen-quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/text-gen-quickstart/</guid><description>A quickstart guide for performing text generation with Cohere&amp;rsquo;s Command models (v2 API).</description></item><item><title>The Cohere Datasets API (and How to Use It)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/datasets/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/datasets/</guid><description>Learn about the Dataset API, including its file size limits, data retention, creation, validation, metadata, and more, with provided code snippets.</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 &amp; agents - quickstart</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-quickstart/</guid><description>A quickstart guide for using tool use and building agents with Cohere&amp;rsquo;s Command models (v2 API).</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>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>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>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 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>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>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>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>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>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>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>