Python · MIT
MoMoM101/RAG-ReActAgent
RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning
★ 208
Stars
1 forks · 12 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
21.2
Momentum / 100
see the breakdown below
3mo ago
Created
last push 8d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 14.5 | last push 8d ago; decays to zero at 180 days |
| Scale | 15 | 6.7 | 208 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 21.2 | sum of the above |
Detail
| Topics | agentembeddingfastapillmopenaipythonragreact-agentrerankerretrieval-augmented-generationweaviate |
| Matched on | RAG (retrieval-augmented-generation) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +-1 stars over 26 days = 0.0/day |
| Lifetime average | 1.98 stars/day over 105 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |