LangChain is a general-purpose framework for chaining prompts, tool use and agent architectures, while LlamaIndex specializes in connecting LLMs to your data through indexing, retrieval and RAG. Many AI products use both, LlamaIndex for the data layer and LangChain for orchestration, so the choice depends on whether your MVP is mainly an agent or mainly retrieval over your own documents.
Technical comparison of LangChain vs LlamaIndex for AI products. When to use each and how to combine them.
Read LangChain vs LlamaIndex for the full version of this comparison, with more detail for MVP planning.
