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llama_index

by run-llama

LlamaIndex is a Python toolkit for building AI applications that answer questions over your own documents and data, using search-based retrieval and agents. It connects to many data sources, language models and vector databases through over 300 add-on packages.

Worth a lookEstablished, with a few things to check (listed below).

View on GitHubProject website

Stars
52.7k +11 a day
Licence
MIT
Runs on
Your computer
Setup
Technical
Language
Python
Age
1455 days

What you can do with it

  • Build a chatbot that answers questions from your PDFs, documents or SQL data
  • Connect a choice of language models and vector databases through ready-made integrations
  • Create AI agents and multi-step workflows that retrieve and process documents

Make money with it

A freelance developer could build and sell custom document question-and-answer assistants to small businesses.

An idea, not financial advice. Check the licence before charging for anything built on it.

Ways a business could use it

  • Build an internal assistant that answers staff or customer questions from your own manuals, contracts and policies
  • Automate extracting information from invoices and documents to cut manual data entry

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Getting it running

Install with pip, using either the starter package "llama-index" or "llama-index-core" plus the integration packages you need.

Follow the official instructions in the project README.

Things to check

  • The company's main focus has moved to its paid LlamaParse platform, so the open framework may get less attention
  • Usually needs paid API keys for a language model provider such as OpenAI
  • README says it is not updated as often as the documentation
  • Requires Python coding skills

Who's talking about it

Checked 27 Oct 2026. Summary drafted by AI from the project's README.

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