The Data Framework for LLM Applications
A Python framework for connecting custom data sources to large language models. Build retrieval-augmented generation (RAG) pipelines, agents, and knowledge workers.
The data framework for LLMs: ingestion, parsing, indexing and retrieval pipelines over your documents, with 40+ vector store integrations and LlamaParse for messy PDFs. The RAG specialist's toolkit: deeper data connectors than LangChain, less opinionated than hosted RAG services.
Who it's for
Python and TypeScript teams building RAG applications and document-aware AI over private data.
Official links
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Concepts in the glossary
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LlamaIndex is written in
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LlamaIndex features
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