Langchain
원문: langchain
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering syste
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LangChain Build LLM Applications with Agents & RAG The most popular framework for building LLM powered applications. When to use LangChain Use LangChain when: Building agents with tool calling and reasoning (ReAct pattern) Implementing RAG (retrieval augmented generation) pipelines Need to swap LLM providers easily (OpenAI, Anthropic, Google) Creating chatbots with conversation memory Rapid prototyping of LLM applications Production deployments with LangSmith observability Metrics : 119,000+ GitHub stars 272,000+ repositories use LangChain 500+ integrations (models, vector stores, tools) 3,800+ contributors Use alternatives instead : LlamaIndex : RAG focused, better for document Q&A LangGrap…
실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.