LlamaIndex

The MIT Python framework for building document ingestion and RAG pipelines.

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Fit.

Catalog snapshot

Platforms: Linux, Macos, Windows
Operating systems: Linux, macOS, Windows
Ram floor: 2 GB
Gpu: Not needed
Docker: No
Setup: Intermediate
Deploy as: Local, Self-hosted, Cloud
Commercial use: Allowed

Bring your own embedding model; local runners work via OpenAI-compatible APIs.

Project.

Fetched Sep 12, 2026¹

License: MIT
Stars: 52.1k¹
Forks: 8.1k¹
Open issues: 203¹
Language: Python¹
Last commit: Sep 11, 2026¹
Tags: ragframeworkpython

About.

LlamaIndex is the MIT toolkit most RAG features are assembled from: file parsers, indexers, retrievers, and agent workflows you compose in Python. It is a library, not a runnable app. Pair it with any UI or API.

document parsers · index and retrievers · agent workflows · LlamaCloud option

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