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infiniflow/ragflow

RAG Libraries

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

8.4
GitHub Metrics
Stars
81.8k
Forks
9.4k
Open Issues
3.2k
Watchers
331
Contributors
622
Weekly Commits
0
Language
Python
License
Apache-2.0
Last Commit
Jun 3, 2026
Created
Dec 12, 2023
Latest Release
v0.25.6
Release Date
May 27, 2026
Synced: Jun 3, 2026
Quality Scores
Documentation Qualityw: 20%
8.5

Has docs site (https://ragflow.io). Description: 172 chars. Stars signal: 81,803. Contributors: 622. Score: 8.5/10

Community Healthw: 20%
9.2

Stars: 81,803. Contributors: 622. Watchers: 331. Forks: 9,414. Issue ratio: 3.9%. Score: 9.2/10

Maintenance Velocityw: 15%
7.6

Last commit: 0d ago. Weekly commits: 0. Latest release: v0.25.6. Maturity bonus: 2.5y old. Score: 7.6/10

API Design & DXw: 20%
7.8

Stars/issues ratio: 25. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 81,803 stars. Score: 7.8/10

Production Readinessw: 15%
8.6

Battle-tested: 81,803 stars. Peer review: 622 contributors. Versioned: v0.25.6. Licensed: Apache-2.0. Age: 2.5 years. Maintenance: last commit 0d ago. Score: 8.6/10

Ecosystem Integrationw: 10%
8.9

Fork interest: 9,414. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 81,803 stars. Has web presence. Score: 8.9/10

Tags
agentagenticagentic-aiagentic-workflowaiai-searchcontext-engineeringcontext-retrievaldeep-researchdeepseek
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration
infiniflow/ragflow — 8.4/10 — AI/LLM Repository Review — StackQuadrant