Python · MIT
NovaSearch-Team/RAG-Retrieval
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
★ 1.1k
Stars
88 forks · 3 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.
32.1
Momentum / 100
see the breakdown below
2y ago
Created
last push 2mo 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 | 12.9 | last week ran 1.86× the monthly pace |
| Freshness | 15 | 9.3 | last push 2mo ago; decays to zero at 180 days |
| Scale | 15 | 8.9 | 1.1k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 32.1 | sum of the above |
Detail
| Topics | aillmnlpragretrieval-augmented-generation |
| Matched on | RAG (retrieval-augmented-generation) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +2 stars over 26 days = 0.1/day |
| Lifetime average | 1.18 stars/day over 964 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |