HR
iMoonLab/Hyper-RAG
"Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation" by Yifan Feng, Hao Hu, Xingliang Hou, Shiquan Liu, Shihui Ying, Shaoyi Du, Han Hu, and Yue Gao.
261 43 +2/wk
GitHub
graph-rag llms rag
Trend
3
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
iMoonLab/Hyper-RAG has +2 stars this period . 7-day velocity: 1.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Hyper-RAG | awesome-ai-tools | akcio | wordflow |
|---|---|---|---|---|
| Stars | 261 | 261 | 259 | 264 |
| Forks | 43 | 134 | 40 | 31 |
| Weekly Growth | +2 | +0 | +0 | +0 |
| Language | Python | N/A | Python | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | CC0-1.0 | NOASSERTION | MIT |
Capability Radar vs awesome-ai-tools
Hyper-RAG
awesome-ai-tools
Maintenance Activity 86
Last code push 31 days ago.
Community Engagement 82
Fork-to-star ratio: 16.5%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 86
+2 stars this period — 0.77% 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.