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CohereEmbeddings

CohereEmbeddings connects LangChain Python to Cohere embedding models. It turns query and document text into vectors for indexing and retrieval.

Last updated

Since
v0.1

Syntax

CohereEmbeddings(model: Optional[str] = ..., cohere_api_key: Optional[str] = ...)

In-depth API docs are only for subscribers: parameters, examples, common mistakes and interview practice.

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  • InMemoryVectorStore
  • RAG tutorials
  • Cohere reranker integration
  • Vector store integrations

Source: CohereEmbeddings | langchain_cohere | LangChain Reference. Checked 2026-11-03.