📖 The AI Tool Bible

LangChain vs LlamaIndex

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
LangChain
RAG
LlamaIndex
RAG
TaglineThe broad LLM application framework — chains, agents, retrievers.Data framework for connecting LLMs to your data.
CategoryRAGRAG
PricingFreemium· Open source; LangSmith paidFreemium· Open source; LlamaCloud paid
Model
Editorial score8.3 / 108.7 / 10
Use cases
general LLM appsRAGagents
RAGdata ingestionindexing
Pros
  • Massive integration surface
  • Familiar to most LLM engineers
  • Pairs well with LangSmith for eval
  • Focused on retrieval (not general agent stuff)
  • Many ingestion connectors
  • Strong production patterns
Cons
  • API has changed a lot over time
  • Abstractions can leak
  • API surface is large
  • Documentation can be hard to navigate
Websitewww.langchain.comwww.llamaindex.ai
Pick LangChain if
  • Massive integration surface
  • Familiar to most LLM engineers
  • Pairs well with LangSmith for eval
Pick LlamaIndex if
  • Focused on retrieval (not general agent stuff)
  • Many ingestion connectors
  • Strong production patterns