LlamaIndex
Data framework for retrieving and indexing information to feed into LLMs; specializes in RAG.
Think of it like
The librarian; indexes your documents so the LLM can find what it needs.
Example
Index a PDF, then ask questions; LlamaIndex retrieves relevant chunks and passes them to Claude.
How it actually works
LlamaIndex focuses narrowly on data ingestion and retrieval. Supports many file types, vector stores, and LLMs. Built for RAG workflows.
For product teams
Narrower scope than LangChain but deep expertise; becoming part of the RAG stack.
For engineers
Good abstractions for chunking, embeddings, and retrieval. Pairs well with LangChain.
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