LlamaIndex
company · United StatesScores
1 product on the map — 1 open.
Openness
5 high confidence- license
- MIT(core)
- commercial
- LlamaCloud/LlamaParse
- source
- public
- core features withheld
- no — every package in run-llama/llama_index is MIT with no enterprise directory
LlamaIndex's core is MIT-licensed, and its full repository tree carries no separately licensed enterprise, ee or commercial directory. LlamaParse, the vendor's paid document-processing service, is priced and sold separately, listed apart from LlamaIndex on the vendor's own site under "Open Source," and nothing in the published library is withheld to make room for it.
- https://github.com/run-llama/llama_index recorded 2026-06-17
MIT, ~50.2k stars, LlamaCloud commercial tier
- https://raw.githubusercontent.com/run-llama/llama_index/main/LICENSE recorded 2026-09-29
The root LICENSE of run-llama/llama_index is the MIT License: "The MIT License" with "Permission is hereby granted, free of charge, to any person obtaining a copy".
- https://www.llamaindex.ai/pricing recorded 2026-09-29
Pricing FAQ separates the paid service from the library: "LlamaParse is our commercial platform designed to automate document workflows" and it "is not open source" while "Our open source projects, LlamaIndex and Workflows".
Adoption
4 high confidenceAdoption is measured by PyPI downloads of llama-index, the package the library ships as. Volume recently peaked higher and has since declined, so the current reading reflects a falling trend rather than continued growth.
- https://pypistats.org/api/packages/llama-index/recent recorded 2026-08-12
7,203,303 downloads in the trailing 30 days for llama-index
Capability
5 high confidenceBest-in-class RAG/data-ingestion depth plus an agent layer.
- https://github.com/run-llama/llama_index recorded 2026-08-13
README - data connectors across APIs, PDFs, docs and SQL; indices, retrievers, query engines and reranking modules; document agents built with Workflows and Agent Builder; 51.6k stars, 7.9k forks