The project integrates the RAG and FAQ dual mechanisms, introduces intent recognition, dynamic adaptive retrieval, and the RAGAS automated evaluation system, achieving a transformation from empirical optimization to data-driven optimization.
phoenix-zhou/industrial-general-rag has 500 GitHub stars. It gained +31 stars in the last 7 days and +35 over 8 recorded days in the last 30 days (snapshots through Oct 5, 2026).
Its biggest recent day was Sep 30, 2026, with +6 stars.
It currently ranks #45962 daily, #45956 weekly, #46501 monthly by momentum on Trending Repos; its best-ever rank is #213.
Trending Repos first recorded it on Sep 7, 2026.
| Date | Stars gained | Total stars | Forks gained |
|---|---|---|---|
| +5 | 499 | 0 | |
| +2 | 494 | 0 | |
| +5 | 492 | +1 | |
| +4 | 487 | 0 | |
| +5 | 483 | 0 | |
| +6 |
| 478 |
| 0 |
| +4 | 472 | 0 |
| +4 | 468 | 0 |