LangChain vs LlamaIndex vs AutoGen – which AI framework?

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Building an AI app and confused about frameworks. LangChain seems most popular but complex. LlamaIndex is good for data. AutoGen for agents?

Use case: RAG chatbot with custom data

Which one has the best DX and documentation?

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langchain is like the react of AI frameworks – everyone uses it but complaints are common

llamaindex feels more focused on what it does

autogen is cool for multi-agent stuff but maybe too complex for simple chatbots

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LangChain for general, LlamaIndex for data

Built RAG apps with all three:

  • LangChain: Most popular, huge ecosystem, but can be overkill. Good for complex multi-step workflows.
  • LlamaIndex: Better for data-heavy apps. Better indexing, easier to build RAG pipelines.
  • AutoGen: Great for agentic workflows, but steeper learning curve.

Recommendation: Start with LlamaIndex for RAG. Use LangChain if you need more control.