Explore/framework/ragflow
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infiniflow/ragflowActive

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

frameworkGoApache-2.0
GitHubCompare
Refreshed 5h ago
OverviewActivity52wAlternativesDocs
Stars89.4k
Forks10.5k
HF Downloads30d
Last commit8h ago
Refreshed5h ago
Project healthActiveLast commit 8h ago.
Production readinessMVP-readySuitable for non-critical production use.
Risk notesApache-2.0Verify license before production use.
AgentHub Score
95 / 100
Composite score from 6 signals. How we score →
Active project
95Score
Growth
98A+
Activity
96A+
Documentation
70C+
Maturity
94A+
Community
95A+
Production
58C
GitHub stars · 31 days observed89.4k +3.87% / 30d
snapshots
Repository activity · 31 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-08-27
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguageGo
LicenseApache-2.0
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

95
Score 95/100
Top performer

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