For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.

docs

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Guides and concepts API Reference Release Notes LLMU Cookbooks

Get Started
Models
Text Generation
Embeddings (Vectors, Search, Retrieval)
Going to Production
Integrations
Deployment Options
Tutorials
Responsible Use
Cohere Labs
- Cohere Labs Acceptable Use Policy
More Resources
- Sandbox

Introduction
Installation
Creating a client
RAG
Reranking
Semantic Search
Text Generation
Tool Use & Agents
Transcribing Audio
Playground
FAQs
An Overview of Cohere's Models
Cohere Transcribe
Aya
Aya Vision
Aya Expanse
Tiny Aya
Command A+
Command A
Command A Reasoning
Command A Translate
Command A Vision
Command R7B
Command R+
Command R
Embed
North Mini Code
Rerank
Introduction to Text Generation at Cohere
Using the Chat API
Reasoning
Image Inputs
Streaming Responses
Structured Outputs
Parameter Types in Structured Outputs (JSON)
Predictable Outputs
Advanced Generation Parameters
Basic usage
End-to-end example
Streaming
Citations
Tool Use
Basic usage
Usage patterns
Parameter types
Streaming
Citations
Tokens and Tokenizers
Summarizing Text
Safety Modes
Introduction to Embeddings at Cohere
Semantic Search with Embeddings
Multimodal Embeddings
Batch Embedding Jobs
Rerank Overview
Rerank Best Practices
API Keys and Rate Limits
Going Live
Deprecations
How Does Cohere's Pricing Work?
Integrating Embedding Models with Other Tools
Elasticsearch and Cohere
MongoDB and Cohere
Redis and Cohere
Haystack and Cohere
Pinecone and Cohere
Weaviate and Cohere
Open Search and Cohere
Vespa and Cohere
Qdrant and Cohere
Milvus and Cohere
Zilliz and Cohere
Chroma and Cohere
Cohere and LangChain
Chat on LangChain
Embed on LangChain
Rerank on LangChain
Tools on LangChain
LlamaIndex and Cohere
Overview
SDK Compatibility
Overview
Setting Up
Model Deployment
Model Deployment - AWS
Usage
Cohere on AWS
Amazon Bedrock
Amazon SageMaker
Deploy Your Own Finetuned Command-R-0824 Model from AWS Marketplace
Cohere on Azure
Cohere on Oracle Cloud Infrastructure (OCI)
Model Vault
Cookbooks
LLM University
Build Things with Cohere!
Cohere Text Generation Tutorial
Building a Chatbot with Cohere
Semantic Search with Cohere
Reranking with Cohere
RAG with Cohere
Building an Agent with Cohere
Agentic RAG
Routing Queries to Data Sources
Generating Parallel Queries
Performing Tasks Sequentially
Generating Multi-Faceted Queries
Querying Structured Data (Tables)
Querying Structured Data (SQL)
Cohere on Azure
Text Generation
Semantic Search
Reranking
Retrieval Augmented Generation (RAG)
Tool Use & Agents
Usage Policy
Command R and Command R+ Model Card
Cohere Labs Acceptable Use Policy
Cohere Toolkit
Datasets
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