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LangChain

Framework for building LLM-powered apps — chains, agents, RAG, memory, tool use.

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LangChain is the most widely used framework for building LLM-powered applications in Python and JavaScript. It provides composable building blocks for the most common patterns: chains (multi-step prompts), agents (LLMs that use tools), RAG (retrieval-augmented generation), memory, and streaming. Most LLM application tutorials and open-source projects online use LangChain, making it the de facto standard for the space. The ecosystem includes LangSmith (observability and tracing), LangGraph (stateful multi-step agents), and LangServe (API deployment).

The core framework is open-source and free. LangSmith has a free developer tier; Teams is $39/mo. Most often compared to LlamaIndex — LangChain's edge is breadth (agents, chains, memory, tool use) and ecosystem size; LlamaIndex's is depth on the data ingestion and retrieval side for complex RAG applications.

Made byLangChain
PricingOpen-source (free) · LangSmith free tier · Teams $39/mo
Best forLLM app development, RAG pipelines, agents, Python and JavaScript developers

Alternatives to LangChain

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