HI
hhy-huang/HiRAG
[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
530 83 +0/wk
GitHub
clustering graphrag large-language-models nlp rag retrieval-augmented-generation
Trend
3
Star & Fork Trend (38 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
hhy-huang/HiRAG has +0 stars this period . 7-day velocity: 0.4%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | HiRAG | poplar | DL-Simplified | talk2arxiv |
|---|---|---|---|---|
| Stars | 530 | 530 | 530 | 530 |
| Forks | 83 | 140 | 401 | 33 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | TypeScript | Jupyter Notebook | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | GPL-3.0 | MIT | Apache-2.0 |
Capability Radar vs poplar
HiRAG
poplar
Maintenance Activity 23
Last code push 140 days ago.
Community Engagement 78
Fork-to-star ratio: 15.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.