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LangChain

An open-source framework for building LLM apps, connecting models, tools and data.

Last updated by editors:

Our review

LangChain is an open-source framework for building LLM apps, connecting models, tools and data, with a huge ecosystem, rich integrations and LangSmith for observability — a common foundation for developers building AI apps.

The abstractions are heavy, versions change fast, and it's developer-oriented; but if you need to flexibly orchestrate complex AI flows at the code level, LangChain's ecosystem and integration breadth are hard to replace.

Pros

Huge ecosystem
Rich integrations
Active community
LangSmith observability

Cons

Heavy abstractions
Fast-changing versions
Developer-oriented

Key features

ChainingTool callingLangGraphLangSmith

Best for

LLM app developmentAgentsRAGPrototypes

FAQ

What is LangChain?

An open-source framework for building LLM apps, connecting models, tools and data.

What are the pros and cons of LangChain?

Pros: Huge ecosystem, Rich integrations, Active community, LangSmith observability. Cons: Heavy abstractions, Fast-changing versions, Developer-oriented.

How much does LangChain cost?

Open source: Free; LangSmith: from $39/user/mo.

Who is LangChain for?

Best for LLM app development, Agents, RAG, Prototypes.

What are the alternatives to LangChain?

Consider LlamaIndex, Dify, CrewAI.

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Pricing

Open sourceFree
  • Framework
  • LangGraph
LangSmithfrom $39/user/mo
  • Observability
  • Evals
LangChain pricing

Rating

4.4/ 5
Our editorial score