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Cohere Command

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description Cohere Command Overview

Cohere provides powerful, production-ready APIs, particularly excelling in embedding models and semantic search capabilities. Its Command feature allows developers to build sophisticated applications around its core models. It is highly valued by developers who need best-in-class vector search and embedding generation for their custom AI applications.

help Cohere Command FAQ

Which Cohere Command model is aimed at RAG and tool use?

Cohere's current model documentation describes Command A as strong for tool use, agents, retrieval-augmented generation and multilingual work. Older command-r-03-2024 is marked deprecated on September 15, 2025, so do not hard-code that model name without checking the live model list. [Cohere model documentation](https://docs.cohere.com/docs/models)

Can I call Cohere Command through an API or Amazon Bedrock?

Yes, Command is available through Cohere's API Chat endpoint, and Cohere announced Command on Amazon Bedrock on September 29, 2023. The model ID, region and billing path depend on the provider, so a Cohere API key is not automatically a Bedrock credential.

Can Command return citations for documents?

Yes, Cohere's Chat and RAG workflow can pass source documents and return grounded citations with the answer. That makes Command useful for an internal search assistant, but citations only point to the context your application supplies.

What is the difference between Command, Embed and Rerank?

Command generates or rewrites text, Embed turns text into vectors for semantic search, and Rerank orders retrieved passages by relevance. Cohere introduced the rerank API in 2023, so these are separate jobs in one retrieval pipeline rather than three names for the same model.

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