Python · MIT
SciPhi-AI/R2R
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
★ 8.1k
Stars
652 forks · 132 open issues
+1.3/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
18.2
Momentum / 100
see the breakdown below
2y ago
Created
last push 12mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 6.9 | +1.3/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.78× the monthly pace |
| Freshness | 15 | 0.0 | last push 12mo ago; decays to zero at 180 days |
| Scale | 15 | 11.3 | 8.1k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 18.2 | sum of the above |
Detail
| Topics | artificial-intelligencelarge-language-modelspythonquestion-answeringragretrieval-augmented-generationretrieval-systemssearch |
| Matched on | RAG (rag, retrieval-augmented-generation) LLM & Inference (large-language-models) |
| Short window | +9 stars over 7 days = 1.3/day |
| Long window | +43 stars over 26 days = 1.7/day |
| Lifetime average | 8.08 stars/day over 997 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |