Search on AI Knowledge Base

RAG from Scratch

Mon, 01 Jan 0001 00:00:00 +0000

Build a complete Retrieval-Augmented Generation pipeline from the ground up. Learn embeddings, vector search, reranking, and how to wire retrieval into LLM generation with citations.

This path draws on Cohere (strong RAG docs), Pinecone (vector DB), and LangChain (orchestration).

Agentic Search

Mon, 01 Jan 0001 00:00:00 +0000

Build agents that iteratively search and refine results to answer complex queries.

Architecture

Mon, 01 Jan 0001 00:00:00 +0000

Learn how Pinecone’s architecture enables fast, relevant vector search at any scale.

Arxiv Paper Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘ArxivPaperTool’ searches arXiv for papers matching a query and optionally downloads PDFs.

Assistants File Search

Mon, 01 Jan 0001 00:00:00 +0000

Use File Search as a built-in RAG tool for assistants.

Basic Semantic Search with Cohere Models

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to do basic semantic search with Cohere’s models.

Batch Operations

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Execute multiple searches in a single API call for better performance and easier comparison of results.

Brave Search

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The ‘BraveSearchTool’ is designed to search the internet using the Brave Search API.

Bright Data Tools

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Bright Data integrations for SERP search, Web Unlocker scraping, and Dataset API.

Build a deep research agent

Mon, 01 Jan 0001 00:00:00 +0000

Build a multi-step web research agent with subagent delegation

Build a deep research agent

Mon, 01 Jan 0001 00:00:00 +0000

Build a multi-step web research agent with subagent delegation

Build a semantic search engine with LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Build a semantic search engine with LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Building MCP servers for ChatGPT Apps and API integrations

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build MCP servers for use with ChatGPT Apps, deep research, or API integrations.

Cloudera AI

Mon, 01 Jan 0001 00:00:00 +0000

Vector embedding, RAG, and semantic search at scale

Cohere Cookbooks: Build AI Agents and Solutions

Mon, 01 Jan 0001 00:00:00 +0000

Get started with Cohere’s cookbooks to build agents, QA bots, perform searches, and more, all organized by category.

Connectors Overview

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Connectors enable Agents and users to access tools like websearch, code interpreter, image generation, and document library on demand

Create an index

Mon, 01 Jan 0001 00:00:00 +0000

Create dense or sparse indexes for semantic and lexical search.

Databricks SQL Query Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘DatabricksQueryTool’ executes SQL queries against Databricks workspace tables.

Decrease latency

Mon, 01 Jan 0001 00:00:00 +0000

Learn techniques to decrease latency for search and upsert operations.

Deep research

Mon, 01 Jan 0001 00:00:00 +0000

Use deep research models for autonomous multi-step research tasks — the model browses the web, synthesizes information, and produces comprehensive reports.

Differences between Lexical and Semantic Search regarding relevancy

Mon, 01 Jan 0001 00:00:00 +0000

DOCX RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘DOCXSearchTool’ is a RAG tool designed for semantic searching within DOCX documents.

Elasticsearch and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to create a semantic search pipeline with Elasticsearch and Cohere’s generative AI capabilities.

Embeddings & Reranking

Mon, 01 Jan 0001 00:00:00 +0000

Generate embeddings and rerank results for semantic search

End-to-end RAG using Elasticsearch and Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how to get Cohere and ElasticSearch to work well together.

EXA Search Web Loader

Mon, 01 Jan 0001 00:00:00 +0000

The ‘EXASearchTool’ is designed to perform a semantic search for a specified query from a text’s content across the internet.

Examples & Patterns

Mon, 01 Jan 0001 00:00:00 +0000

Complete end-to-end examples demonstrating real-world use cases of the Search API.

File search

Mon, 01 Jan 0001 00:00:00 +0000

Built-in file search tool that lets models search uploaded files for relevant information before generating responses, providing managed RAG without external infrastructure.

Filter by metadata

Mon, 01 Jan 0001 00:00:00 +0000

Narrow search results with metadata filtering.

Filtering with Where

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to filter search results using Where expressions and the Key/K class to narrow down your search to specific documents, IDs, or metadata values.

Find registry items

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to search for registries, collections, and artifact versions in the W&B Registry using the global search bar or queries.

Fueling Generative Content with Keyword Research

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic workflow for using Cohere’s models to come up with keyword content ideas.

Full Text Search

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use full-text search and regex filtering in Chroma collections.

Full-text search

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Keyword-based search over text documents using BM25, phrase matching, and Lucene query syntax.

Getting Started

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Chroma is an open-source search engine for AI. It comes with everything you need to get started built-in, and runs on your machine.

Github Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘GithubSearchTool’ is designed to search websites and convert them into clean markdown or structured data.

Google Search Grounding

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Google Serper Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SerperDevTool’ is designed to search the internet and return the most relevant results.

Group By & Aggregation

Mon, 01 Jan 0001 00:00:00 +0000

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.

How to add semantic search to your agent deployment

Mon, 01 Jan 0001 00:00:00 +0000

How To Build An AI Search Engine (OSS Perplexity Clone)

Mon, 01 Jan 0001 00:00:00 +0000

How to build an AI search engine inspired by Perplexity with Next.js and Together AI

How To Improve Search With Rerankers

Mon, 01 Jan 0001 00:00:00 +0000

Learn how you can improve semantic search quality with reranker models!

Hybrid search

Mon, 01 Jan 0001 00:00:00 +0000

Combine semantic and lexical search for better results.

Hybrid Search with RRF

Mon, 01 Jan 0001 00:00:00 +0000

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).

Increase search relevance

Mon, 01 Jan 0001 00:00:00 +0000

Learn techniques to improve search result quality.

Integrating Embedding Models with Other Tools

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to integrate Cohere embeddings with open-source vector search engines for enhanced applications.

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Chroma is an open-source search engine for AI. It comes with everything you need to get started built-in.

Introduction to Embeddings at Cohere

Mon, 01 Jan 0001 00:00:00 +0000

Embeddings transform text into numerical data, enabling language-agnostic similarity searches and efficient storage with compression.

JSON RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘JSONSearchTool’ is designed to search JSON files and return the most relevant results.

Lexical search

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Perform keyword-based search on sparse indexes

Linkup Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘LinkupSearchTool’ enables querying the Linkup API for contextual information.

LlamaIndex

Mon, 01 Jan 0001 00:00:00 +0000

Using LlamaIndex and Pinecone to build semantic search and RAG applications

Manage algorithms locally

Mon, 01 Jan 0001 00:00:00 +0000

Search and stop algorithms locally instead of using the W&B cloud-hosted service.

MDX RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘MDXSearchTool’ is designed to search MDX files and return the most relevant results.

Migration Guide

Mon, 01 Jan 0001 00:00:00 +0000

Migrate from legacy ‘query()’ and ‘get()’ to the Search API.

MongoDB and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Build semantic search and RAG systems using Cohere and MongoDB Atlas Vector Search.

MongoDB Vector Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘MongoDBVectorSearchTool’ performs vector search on MongoDB Atlas with optional indexing helpers.

Multi-Hop RAG

Mon, 01 Jan 0001 00:00:00 +0000

Multilingual Search with Cohere and Langchain

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how to do search across different languages with Cohere’s LLM platform.

MySQL RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘MySQLSearchTool’ is designed to search MySQL databases and return the most relevant results.

Open Search and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Unlock the power of search and analytics with OpenSearch, enhanced by ML connectors like Cohere and Amazon Bedrock.

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Read, write, and search through various file formats with CrewAI’s document processing tools

Overview

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Perform web searches, find repositories, and research information across the internet

Package Search MCP Server

Mon, 01 Jan 0001 00:00:00 +0000

Package Search Registry

Mon, 01 Jan 0001 00:00:00 +0000

Pagination & Field Selection

Mon, 01 Jan 0001 00:00:00 +0000

Control how many results to return and which fields to include in your search results.

PG RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘PGSearchTool’ is designed to search PostgreSQL databases and return the most relevant results.

Qdrant Vector Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

Semantic search capabilities for CrewAI agents using Qdrant vector database

Ranking and Scoring

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use ranking expressions to score and order your search results. In Chroma, lower scores indicate better matches (distance-based scoring).

Redis and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to integrate Cohere with Redis for similarity searches on text data with this step-by-step guide.

Rerank

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to improve the relevance of your search and RAG systems with reranking.

Rerank results

Mon, 01 Jan 0001 00:00:00 +0000

Improve the quality of results with reranking.

Retrieval

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to search your data using semantic similarity with the OpenAI API.

RL for Multi-Hop Research

Mon, 01 Jan 0001 00:00:00 +0000

Search

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Search

Mon, 01 Jan 0001 00:00:00 +0000

Reference guide for Search dictionary syntax used in Chroma.

Search

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Search API Overview

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Search Assistants

Mon, 01 Jan 0001 00:00:00 +0000

Search for assistants.

Search Basics

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to construct and use the Search class for querying your Chroma collections.

Search Crons

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Search all active crons

Search or list items within a namespace prefix.

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Lists items ordered by last updated time. If a ‘query’ is provided, performs a natural language search instead. Supports pagination via ’limit’ and ‘offset’, and filtering via ‘filter’.

Search overview

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Explore semantic, lexical, and hybrid search options.

Search runs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to search for specific runs by name or ID in your project’s Runs table or Workspace.

Search Threads

Mon, 01 Jan 0001 00:00:00 +0000

Search for threads.

Semantic search

Mon, 01 Jan 0001 00:00:00 +0000

Find semantically similar records using dense vectors.

Semantic search - Cohere on Azure AI Foundry

Mon, 01 Jan 0001 00:00:00 +0000

A guide for performing text semantic search with Cohere’s Embed models on Azure AI Foundry (API v2).

Semantic search - quickstart

Mon, 01 Jan 0001 00:00:00 +0000

A quickstart guide for performing text semantic search with Cohere’s Embed models (v2 API).

Semantic Search with Cohere Embed Jobs

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how to use Cohere’s Embed Jobs functionality.

Semantic Search with Cohere Models

Mon, 01 Jan 0001 00:00:00 +0000

This is a tutorial describing how to leverage Cohere’s models for semantic search.

Semantic Search with Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Examples on how to use the Embed endpoint to perform semantic search (API v2).

SerpApi Google Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SerpApiGoogleSearchTool’ performs Google searches using the SerpApi service.

SerpApi Google Shopping Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SerpApiGoogleShoppingTool’ searches Google Shopping results using SerpApi.

Serverless Semantic Search with Cohere and Pinecone

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how to get Cohere and the Pinecone vector database to work well together.

SingleStore Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SingleStoreSearchTool’ safely executes SELECT/SHOW queries on SingleStore with pooling.

Snowflake Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SnowflakeSearchTool’ enables CrewAI agents to execute SQL queries and perform semantic search on Snowflake data warehouses.

Sparse Vector Search Setup

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to configure and use sparse vectors for keyword-based search, and combine them with dense embeddings for powerful hybrid search capabilities.

Tavily Extractor Tool

Mon, 01 Jan 0001 00:00:00 +0000

Extract structured content from web pages using the Tavily API

Tavily Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

Perform comprehensive web searches using the Tavily Search API

Test Pinecone at scale

Mon, 01 Jan 0001 00:00:00 +0000

Test Pinecone with a real-world dataset and semantic search workload.

Tool search

Mon, 01 Jan 0001 00:00:00 +0000

Use tool search to defer large tool surfaces, group related tools with namespaces, and load only the relevant functions at runtime.

Tool Search

Mon, 01 Jan 0001 00:00:00 +0000

Unlocking the Power of Multimodal Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Multimodal embeddings convert text and images into embeddings for search and classification (API v2).

Using tools

Mon, 01 Jan 0001 00:00:00 +0000

Extend model capabilities with tools — built-in (web search, file search, code interpreter) and custom (function calling, remote MCP servers).

Vector embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to turn text into numbers, unlocking use cases like search, clustering, and more with OpenAI API embeddings.

Vertex AI Search Grounding

Mon, 01 Jan 0001 00:00:00 +0000

Weaviate Vector Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘WeaviateVectorSearchTool’ is designed to search a Weaviate vector database for semantically similar documents using hybrid search.

Web search

Mon, 01 Jan 0001 00:00:00 +0000

Built-in web search tool that lets models search the internet for current information before generating responses — grounding outputs in real-time data.

Websearch

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Websearch enables models to browse the web for real-time, up-to-date information and access specific websites

Week 13 · March 23–27, 2026

Mon, 01 Jan 0001 00:00:00 +0000

Auto mode for hands-off permissions, computer use built in, PR auto-fix in the cloud, transcript search, and a PowerShell tool for Windows.

Where Filters

Mon, 01 Jan 0001 00:00:00 +0000

Reference guide for where filter JSON syntax used in Chroma queries and searches.

Wikipedia Semantic Search with Cohere + Weaviate

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a description of building a Wikipedia-focused search engine with Cohere’s LLM platform and the Weaviate vector database.

Wikipedia Semantic Search with Cohere Embedding Archives

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a description of building a Wikipedia-focused semantic search engine with Cohere’s LLM platform and the Weaviate vector database.