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- Get Started
  - Welcome to Cohere
- Cohere Platform
- Model Vault
  - Overview
  - Quickstart
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    Home Page
    Creating a Vault
    Managing Vaults
  - Operate & observe
    Monitoring
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    Overview
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  - Encrypted Vault
    Overview
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    Verifying Your Deployment
    Encryption & Key Management
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  - Model Vault with North
- Models
- Text Generation
  - Introduction to Text Generation at Cohere
  - Using the Chat API
  - Reasoning
  - Image Inputs
  - Streaming Responses
  - Structured Outputs
    Structured Outputs
    Parameter Types in Structured Outputs (JSON)
  - Predictable Outputs
  - Advanced Generation Parameters
  - Retrieval Augmented Generation (RAG)
    Basic usage
    End-to-end example
    Streaming
    Citations
  - Tool Use
    Basic usage
    Usage patterns
    Parameter types
    Streaming
    Citations
  - Tokens and Tokenizers
  - Prompt Engineering
    Crafting Effective Prompts
    Advanced Prompt Engineering Techniques
    System Messages
    Prompt Library
    Create CSV data from JSON data
    Create a markdown table from raw data
    Meeting Summarizer
    Remove PII
    Add a Docstring to your code
    Evaluate your LLM response
    Multilingual interpreter
  - Summarizing Text
- Embeddings (Vectors, Search, Retrieval)
- Going to Production
- Integrations
- Deployment Options
  - Overview
  - SDK Compatibility
  - Private Deployment
    Overview
    Setting Up
    Model Deployment
    Model Deployment - AWS
    Usage
  - Cloud AI Services
    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)
- Tutorials
- Responsible Use
  - Command R and Command R+ Model Card
  - Cohere Web Crawlers
- Cohere Labs
  - Cohere Labs Acceptable Use Policy
- More Resources

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Reranking

View as Markdown Open in ChatGPT Open in ClaudeConnect to Cursor Connect to VS Code

An Overview of Cohere's Rerank Model

Best Practices for using Rerank

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Documentation menu

- Get Started
  - Welcome to Cohere
- Cohere Platform
- Model Vault
  - Overview
  - Quickstart
  - Deploy & manage
    Home Page
    Creating a Vault
    Managing Vaults
  - Operate & observe
    Monitoring
  - Standard Vault
    Overview
    Supported Models
    Calling the API
    Pricing
  - Encrypted Vault
    Overview
    Supported Models
    Calling the API
    Security
    Confidential Computing Primer
    Security Model
    Remote Attestation
    Verifying Your Deployment
    Encryption & Key Management
    Compliance
    Pricing
    FAQ
  - Model Vault with North
- Models
- Text Generation
  - Introduction to Text Generation at Cohere
  - Using the Chat API
  - Reasoning
  - Image Inputs
  - Streaming Responses
  - Structured Outputs
    Structured Outputs
    Parameter Types in Structured Outputs (JSON)
  - Predictable Outputs
  - Advanced Generation Parameters
  - Retrieval Augmented Generation (RAG)
    Basic usage
    End-to-end example
    Streaming
    Citations
  - Tool Use
    Basic usage
    Usage patterns
    Parameter types
    Streaming
    Citations
  - Tokens and Tokenizers
  - Prompt Engineering
    Crafting Effective Prompts
    Advanced Prompt Engineering Techniques
    System Messages
    Prompt Library
    Create CSV data from JSON data
    Create a markdown table from raw data
    Meeting Summarizer
    Remove PII
    Add a Docstring to your code
    Evaluate your LLM response
    Multilingual interpreter
  - Summarizing Text
- Embeddings (Vectors, Search, Retrieval)
- Going to Production
- Integrations
- Deployment Options
  - Overview
  - SDK Compatibility
  - Private Deployment
    Overview
    Setting Up
    Model Deployment
    Model Deployment - AWS
    Usage
  - Cloud AI Services
    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)
- Tutorials
- Responsible Use
  - Command R and Command R+ Model Card
  - Cohere Web Crawlers
- Cohere Labs
  - Cohere Labs Acceptable Use Policy
- More Resources

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