LlamaIndex
Open SourceFrameworks & SDKs
The data framework for connecting your data to LLMs.
What it’s for
LlamaIndex specializes in ingestion and retrieval: it reads documents, chunks and indexes them, and gives you query engines with citations out of the box. If you are building RAG, it is the fastest path from raw files to a working question-answering system.
How to use it
pip install llama-index, load documents with a reader, build a VectorStoreIndex, then query it — chunking, embeddings and retrieval are handled for you. LlamaCloud offers managed parsing and ingestion when you would rather not host the pipeline.
Pricing
Open source under MIT. LlamaCloud, the managed data platform built around it, is usage-based with a free tier.