Old version
August 1, 2026 00:55 UTC
dcdbce336df321478c734d68ff17d4fe741d3e40daec60bbeabd10c7d7fc9c0b
CA-V-005434
New version
August 8, 2026 00:50 UTC
ac68e68dd5e63c3238f574a92d2788021a0dcf6d7825592d7871a27cd552dac6
CA-V-005619
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Change Summary
In an update detected on August 8, 2026, Cohere reorganized its documentation structure and navigation. The change modified the table of contents and menu organization of its platform documentation, adding new sections for Model Vault management (including Overview, Quickstart, Deploy & manage, Operate & observe, and details on Standard Vault, Encrypted Vault, and Model Vault with North), while removing the standalone 'Model Vault' entry from the integrations section. The updated structure now emphasizes vault management and operational topics alongside existing API and deployment guidance.
low severity
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0v2 API v2 API Guides and concepts API Reference Release Notes LLMU Cookbooks Get Started Introduction Installation Creating a client Quickstart Playground FAQs Models An Overview of Cohere's Models Audio Aya Command Embed North Rerank Text Generation Introduction to Text Generation at Cohere Using the Chat API Reasoning Image Inputs Streaming Responses Structured Outputs Predictable Outputs Advanced Generation Parameters Retrieval Augmented Generation (RAG) Tool Use Tokens and Tokenizers Summarizing Text Safety Modes Embeddings (Vectors, Search, Retrieval) Introduction to Embeddings at Cohere Semantic Search with Embeddings Multimodal Embeddings Batch Embedding Jobs Reranking Going to Production API Keys and Rate Limits Going Live Deprecations How Does Cohere's Pricing Work?0v2 API v2 API Guides and concepts API Reference Release Notes LLMU Cookbooks Get Started Welcome to Cohere Cohere Platform Overview Installation Creating a client Quickstart Playground FAQs Model Vault Overview Quickstart Deploy & manage Operate & observe Standard Vault Encrypted Vault Model Vault with North Models An Overview of Cohere's Models Audio Aya Command Embed North Rerank Text Generation Introduction to Text Generation at Cohere Using the Chat API Reasoning Image Inputs Streaming Responses Structured Outputs Predictable Outputs Advanced Generation Parameters Retrieval Augmented Generation (RAG) Tool Use Tokens and Tokenizers Summarizing Text Safety Modes Embeddings (Vectors, Search, Retrieval) Introduction to Embeddings at Cohere Semantic Search with Embeddings Multimodal Embeddings Batch Embedding Jobs Reranking Going to Production API Keys and Rate Limits Going Live Deprecations How Does Cohere's Pricing Work?
1Integrations Integrating Embedding Models with Other Tools Cohere and LangChain LlamaIndex and Cohere Deployment Options Overview SDK Compatibility Private Deployment Cloud AI Services Model Vault Tutorials Cookbooks LLM University Build Things with Cohere!1Integrations Integrating Embedding Models with Other Tools Cohere and LangChain LlamaIndex and Cohere Deployment Options Overview SDK Compatibility Private Deployment Cloud AI Services Tutorials Cookbooks LLM University Build Things with Cohere!
2Agentic RAG Cohere on Azure Responsible Use Cohere Trust Center Security Usage Policy Command A Technical Report Command R and Command R+ Model Card Cohere Web Crawlers Cohere Labs Cohere Labs Acceptable Use Policy More Resources Cohere Toolkit Datasets Improve Cohere Docs 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 Cohere Transcribe Arabic 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?2Agentic RAG Cohere on Azure Responsible Use Cohere Trust Center Security Usage Policy Command A Technical Report Command R and Command R+ Model Card Cohere Web Crawlers Cohere Labs Cohere Labs Acceptable Use Policy More Resources Cohere Toolkit Datasets Improve Cohere Docs Welcome to Cohere Overview Installation Creating a client RAG Reranking Semantic Search Text Generation Tool Use & Agents Transcribing Audio Playground FAQs Overview Quickstart Home Page Creating a Vault Managing Vaults Monitoring Overview Supported Models Calling the API Pricing Overview Supported Models Calling the API Confidential Computing Primer Security Model Remote Attestation Verifying Your Deployment Encryption & Key Management Compliance Pricing FAQ Model Vault with North An Overview of Cohere's Models Cohere Transcribe Cohere Transcribe Arabic 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?
3Integrating 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!3Integrating 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) Cookbooks LLM University Build Things with Cohere!
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