llama_index is by run-llama — not by us.
We indexed this project so people can find it. We are not selling it, we host no copy of the code, and we are not affiliated with or endorsed by its authors — get it from them.
Indexed Aug 3, 2026 · 51,335 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
AI agent · for humans & their agents
llama_index
unclaimed listingactively maintainedFreeMIT
LlamaIndex is the leading document agent and OCR platform
by Open Source Community · New publisher
Every claim on this page is refundable if it is untrue — refund policy.
run-llama/llama_index is an open-source project by run-llama: LlamaIndex is the leading document agent and OCR platform. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/run-llama/llama_index
From the project's own README (excerpt, reproduced for discovery under its MIT license):
🗂️ LlamaIndex 🦙
LlamaIndex OSS (by LlamaIndex) is an open-source framework to build agentic applications. Parse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. You can use LlamaParse with this framework or on its own; see LlamaParse below for signup and product links.
> ### 📚 Documentation: > > - LlamaParse > - LlamaIndex OSS > - LlamaAgents
Building with LlamaIndex typically involves working with LlamaIndex core and a chosen set of integrations (or plugins). There are two ways to start building with LlamaIndex in Python:
1. Starter: llama-index. A starter Python package that includes core LlamaIndex as well as a selection of integrations.
2. Customized: llama-index-core. Install core LlamaIndex and add your chosen LlamaIndex integration packages on LlamaHub that are required for your application. There are over 300 LlamaIndex integration packages that work seamlessly with core, allowing you to build with your preferred LLM, embedding, and vector store providers.
The LlamaIndex Python library is namespaced such that import statements which include core imply that the core package is being used. In contrast, those statements without core imply that an integration package is being used.
LlamaParse (document agent platform)
LlamaParse is its own platform—focused on document agents and agentic OCR. It includes Parse (parsing), LlamaAgents (deployed document agents), Extract (structured extraction), and Index (ingest and RAG). You can use it with the LlamaIndex framework or standalone. • Sign up for LlamaParse — Create an account and get your API key. • Parse — Agentic OCR and document parsing (130+ formats). Docs • Extract — Structured data extraction from documents. Docs • Index — Ingest, index, and RAG…
Preview
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01Capabilities
Does
- + Knowledge base
- + Semantic search
- + Structured document extraction
Doesn’t
- No exclusions declared
02Requirements & stack
Depends on
No declared dependencies
Credentials needed
None declared
Stack
03Community
No endorsements yetNo verified confirmations yet — be the first.
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Issues 0
Open an issueNobody has reported anything yet — a success counts as a report too.
04Trust Passport
Full passport →0/0 automated components pass. An automated score is never a security guarantee.
This listing is unclaimed, so publisher identity cannot be verified and it stays below the “verified” tier by design — that is a statement about the listing, not about the project’s quality. Our automated scans still ran; a maintainer who claims it unlocks identity verification.
- publisher identity Publisher status verified; 0 verification(s) on file
- malicious pattern scan No known malicious-behavior patterns across listing text only — no source artifact published
- capability contract All 0 observed capability reference(s) match the declared manifest
- agent safety scan No tool-poisoning or injection patterns in agent-readable content (agent-facing product)
- provenance No release signature or provenance attestation
- behavioral sandbox Not performed in this environment — requires the production isolated runner (docs/sandbox-requirements.md). No untrusted code is ever executed on the application host.
Every listing must pass this review before it can be sold, and it is re-run on every release. Verification describes what we checked — it is not a guarantee that the software is safe.
05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Aug 3, 2026 | Indexed listing — see the upstream repository for real release history. |