RA
infiniflow/ragflow
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
77.5k 8.7k +105/wk
GitHub PyPI 2-source
agent agentic agentic-ai agentic-workflow ai context-engineering context-retrieval deep-research deepseek deepseek-r1 document-understanding graphrag
Trend
8
Star & Fork Trend (52 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
infiniflow/ragflow has +105 stars this period , with cross-source activity across 2 platforms (github, pypi). 7-day velocity: 0.3%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | ragflow | gpt4all | llm-course | netdata |
|---|---|---|---|---|
| Stars | 77.5k | 77.3k | 78.0k | 78.4k |
| Forks | 8.7k | 8.3k | 9.1k | 6.4k |
| Weekly Growth | +105 | +0 | +38 | +3 |
| Language | Python | C++ | N/A | C |
| Sources | 2 | 3 | 2 | 2 |
| License | Apache-2.0 | MIT | Apache-2.0 | GPL-3.0 |
Capability Radar vs gpt4all
ragflow
gpt4all
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 56
Fork-to-star ratio: 11.2%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 48
+105 stars this period — 0.14% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.