{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"Connects LangChain applications to Cohere's language models, providing chat, text embedding, retrieval-augmented generation, and reranking capabilities through a unified integration layer.","skillfed_tags":["langchain-integration","llm-api-wrapper","embeddings-rag"],"use_cases":["Build chatbots and conversational agents using Cohere's chat models through LangChain's message interface.","Embed documents and queries into vector space for semantic search and similarity matching.","Implement retrieval-augmented generation pipelines that fetch and rank external documents before generating responses.","Rerank search or retrieval results by relevance without building a full RAG pipeline.","Create multi-step reasoning agents that use tools and external data sources to answer complex questions."],"what_it_does":"langchain-cohere is a bridge package that exposes Cohere's language models and retrieval tools through LangChain's standard interfaces. It provides four main capabilities: a chat interface for building conversational applications, text embeddings for semantic search, a retrieval-augmented generation (RAG) retriever for connecting to external data sources, and a reranking tool for sorting results by relevance. The package also includes a ReAct agent for multi-step reasoning with tool use.\n\nThe package was migrated from langchain-community starting at version 0.0.30, consolidating Cohere integrations into a dedicated namespace. It requires Python 3.10 or later and depends on cohere (the Cohere Python SDK), langchain-core (LangChain's base abstractions), pydantic (for data validation), and types-pyyaml (type hints). You authenticate by setting a COHERE_API_KEY environment variable before instantiating any Cohere component.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, and low installation friction. Install it if you are building LangChain applications that need Cohere's models or embeddings. The MIT license poses no restrictions. Verify that your environment can set the COHERE_API_KEY before deploying."},"id":"langchain-cohere","links":{"html":"https://skillfed.io/packages/langchain-cohere","md":"https://skillfed.io/packages/langchain-cohere.md","pypi":"https://pypi.org/project/langchain-cohere/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-01","license_spdx":null,"license_treatment":"permissive","name":"langchain-cohere","python_support":"supports_current","summary":"An integration package connecting Cohere and LangChain"},"popularity":{"monthly_downloads":960330,"position":4635,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.6.0"}