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
85.3k
Forks
10.0k
Open Issues
2.2k
Watchers
348
Contributors
679
Weekly Commits
143
Language
Go
License
Apache-2.0
Last Commit
Jul 18, 2026
Created
Dec 12, 2023
Latest Release
v0.26.4
Release Date
Jul 7, 2026
Synced: Jul 18, 2026
Quality Scores
Documentation Qualityw: 20%
8.5

Has docs site (https://ragflow.io). Description: 172 chars. Stars signal: 85,321. Contributors: 679. Score: 8.5/10

Community Healthw: 20%
9.4

Stars: 85,321. Contributors: 679. Watchers: 348. Forks: 9,967. Issue ratio: 2.5%. Score: 9.4/10

Maintenance Velocityw: 15%
9.8

Last commit: 0d ago. Weekly commits: 143. Latest release: v0.26.4. Maturity bonus: 2.6y old. Score: 9.8/10

API Design & DXw: 20%
8.1

Stars/issues ratio: 40. Typed language: Go. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 85,321 stars. Score: 8.1/10

Production Readinessw: 15%
8.6

Battle-tested: 85,321 stars. Peer review: 679 contributors. Versioned: v0.26.4. Licensed: Apache-2.0. Age: 2.6 years. Maintenance: last commit 0d ago. Score: 8.6/10

Ecosystem Integrationw: 10%
8.9

Fork interest: 9,967. Major ecosystem: Go. Integration-friendly: Apache-2.0. Adoption: 85,321 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