Python · MIT
RUC-NLPIR/FlashRAG
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
★ 3.6k
Stars
332 forks · 40 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
25.6
Momentum / 100
see the breakdown below
2y ago
Created
last push 12d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.29× the monthly pace |
| Freshness | 15 | 14.2 | last push 12d ago; decays to zero at 180 days |
| Scale | 15 | 10.3 | 3.6k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 25.6 | sum of the above |
Detail
| Topics | benchmarkdatasetslarge-language-modelsretrieval-augmented-generation |
| Matched on | RAG (retrieval-augmented-generation) LLM & Inference (large-language-models) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +13 stars over 26 days = 0.5/day |
| Lifetime average | 3.73 stars/day over 966 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |