STACKQUADRANT

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

8.9
GitHub Metrics
Stars
92.4k
Forks
11.0k
Open Issues
1.4k
Watchers
362
Contributors
880
Weekly Commits
234
Language
Go
License
Apache-2.0
Last Commit
Oct 17, 2026
Created
Dec 12, 2023
Latest Release
v1.0.0-rc2
Release Date
Oct 16, 2026
Synced: Oct 17, 2026
Quality Scores
Documentation Qualityw: 20%
8.5

Has docs site (https://ragflow.io). Description: 172 chars. Stars signal: 92,370. Contributors: 880. Score: 8.5/10

Community Healthw: 20%
9.4

Stars: 92,370. Contributors: 880. Watchers: 362. Forks: 11,017. Issue ratio: 1.5%. Score: 9.4/10

Maintenance Velocityw: 15%
9.8

Last commit: 0d ago. Weekly commits: 234. Latest release: v1.0.0-rc2. Maturity bonus: 2.9y old. Score: 9.8/10

API Design & DXw: 20%
8.4

Stars/issues ratio: 68. Typed language: Go. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 92,370 stars. Score: 8.4/10

Production Readinessw: 15%
8.6

Battle-tested: 92,370 stars. Peer review: 880 contributors. Versioned: v1.0.0-rc2. Licensed: Apache-2.0. Age: 2.9 years. Maintenance: last commit 0d ago. Score: 8.6/10

Ecosystem Integrationw: 10%
8.9

Fork interest: 11,017. Major ecosystem: Go. Integration-friendly: Apache-2.0. Adoption: 92,370 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