# Cohere and LangChain (Integration Guide)

Cohere [has support for LangChain](https://python.langchain.com/docs/integrations/providers/cohere), a framework which enables you to quickly create LLM powered applications.  This guide outlines how to use features from supported Cohere models with LangChain.

## Supported Models

The LangChain-Cohere integration currently supports:

- Command (e.g., `command-a-03-2025`)
- Command A Reasoning (`command-a-reasoning-08-2025`) — requires `langchain-cohere >= 0.5.1`
- Command A Vision (`command-a-vision-07-2025`) — requires `langchain-cohere >= 0.6.0`
- Embed (e.g., `embed-english-v3.0`, `embed-multilingual-v3.0`)
- Rerank (e.g., `rerank-english-v3.0`, `rerank-multilingual-v3.0`)

To use Command A Reasoning or Command A Vision, upgrade to the latest release with `pip install -U langchain-cohere`.

## Prerequisite

To use LangChain and Cohere you will need:

- The core LangChain packages:
  - `pip install langchain` (the examples on these pages target LangChain v1)
  - `pip install langchain-cohere` (the Cohere integration; v0.5.1+ for Command A Reasoning, v0.6.0+ for Command A Vision)
- Depending on which example you run, you may also need:
  - `pip install langchain-community` (third-party integrations such as document loaders, the Wikipedia retriever, and SQL utilities)
  - `pip install langchain-classic` (legacy chains and retrievers such as `create_stuff_documents_chain`, `load_summarize_chain`, and `ContextualCompressionRetriever`)
  - `pip install langchain-text-splitters` (text splitters such as `CharacterTextSplitter`)
  - `pip install langchain-tavily` (the Tavily web-search tool used by the agent examples)
  - `pip install langchain-experimental` (the Python REPL tool used by the CSV agent example)
  - `pip install chromadb` (the Chroma vector store used in the RAG examples)
- Cohere's SDK. To install it, run `pip install cohere`. If you run into any issues or want more details on Cohere's SDK, [see this wiki](https://github.com/cohere-ai/cohere-python).
- A Cohere API Key. For more details on pricing [see this page](https://cohere.com/pricing). When you create an account with Cohere, we automatically create a trial API key for you. This key will be available on the dashboard where you can copy it, and it's in the dashboard section called "API Keys" as well.

## Integrating LangChain with Cohere Models

The following guides contain technical details on the many ways in which Cohere and LangChain can be used in tandem:

- [Chat on LangChain](/guides/integrations-cohere-and-langchain-chat-on-langchain)
- [Embed on LangChain](/guides/integrations-cohere-and-langchain-embed-on-langchain)
- [Rerank on LangChain](/guides/integrations-cohere-and-langchain-rerank-on-langchain)
- [Tools on LangChain](/guides/integrations-cohere-and-langchain-tools-on-langchain)

## Related pages

- [Changelog](../changelog.md)
- [Cohere](../index.md)
- [Cohere API](./cohere-api-index.md)
- [Cohere Labs](./cohere-labs-index.md)
- [Cohere Platform](./cohere-platform-index.md)
- [Cookbooks](./cookbooks-index.md)
- [Deployment Options](./deployment-options-index.md)
- [Embeddings (Vectors, Search, Retrieval)](./embeddings-vectors-search-retrieval-index.md)
- [Get Started](./get-started-index.md)
- [Going to Production](./going-to-production-index.md)
- [Cohere Chat on LangChain (Integration Guide)](./integrations-cohere-and-langchain-chat-on-langchain.md)
- [Cohere Embed on LangChain (Integration Guide)](./integrations-cohere-and-langchain-embed-on-langchain.md)
- [Cohere Rerank on LangChain (Integration Guide)](./integrations-cohere-and-langchain-rerank-on-langchain.md)
- [Cohere Tools on LangChain (Integration Guide)](./integrations-cohere-and-langchain-tools-on-langchain.md)

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