Old version
June 11, 2026 00:53 UTC
4d0e12d916ee253b550e1c45fc4f827f2b18b2fbec04aaa2d5b578c55ce67f79
CA-V-003669
New version
June 28, 2026 00:47 UTC
f198eaf37c0fabd0a7f723c27b9a2d176b361188b3fc5938ffd072e8b8803866
CA-V-004288
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Change Summary
Cohere removed 'LLMU' from its documentation navigation index on June 28, 2026. The change appears to be a removal of a reference or section label from the table of contents. This is a formatting or organizational change to the documentation structure with no apparent impact on the policy terms themselves or user obligations.
low severity
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0 Sentences removed
1 Sentences modified
43 Sentences before
43 Sentences after
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0Guides 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?0Guides and concepts API Reference Release Notes 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?
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