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RAGFlow

The open-source RAG engine — ~92k stars of document understanding.

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About

RAGFlow (infiniflow/ragflow, Apache-2.0, ~92k stars) is the open-source RAG engine: deep document understanding (layout-aware parsing), agentic retrieval, and a visual pipeline builder.

One of the highest-starred AI repos in existence. If you're building RAG and want it open source, start here — the document parsing alone is worth it.

What it can do

  • Deep document parsing
  • Agentic RAG
  • Visual pipeline builder
  • API access
  • Apache-2.0 open source

Setup

  1. Clone infiniflow/ragflow.
  2. docker compose up per the README.
  3. Upload documents; build pipelines in the UI.
  4. Query via API.

Prerequisites

Docker; documents to index.

Use cases

datacodeautomation

Works with

Generic APIAny agent (.md)

Trust score — 9/10

/10 trustVerified

Scored 9/10 (verified tier). ~92k stars, Apache-2.0, very active — among the highest-trust open-source AI projects in the catalog. Verified tier.

★ 92,077 GitHub stars

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
9.2/10
Maintenance · recency, releases, issue load
9.4/10
Openness · license + docs
9.7/10
Manual review · sanity read + red-flag check
9.0/10
  • · 92,077 GitHub stars (log-scaled vs catalog peers)
  • · last push 1d ago; 24 releases/12mo; 1390 open issues
  • · manual review: RAG engine (~92k stars); deep document understanding; very active; license: Apache-2.0

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.