âĄFlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
RUC-NLPIR/FlashRAG is accelerating â star growth is speeding up by +0.1/day (68th percentile in the tracked cohort), on top of +1.0 stars/day. A recent release is helping fuel the run.
Reconstructed from 194 snapshots â the time-series GitHubâs API doesnât expose.
Release count rose to 8.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/RUC-NLPIR/FlashRAG)Moderate breakout odds over the next 14 days, led by star acceleration (68th pctl) and push recency (97th pctl). Confidence is high given the available history.
Transparent heuristic ¡ logged for model training
Percentile rank within the tracked cohort. The score self-calibrates â it answers âaccelerating vs. everything else,â not raw size.