Repository · MIT
onyx-dot-app/EnterpriseRAG-Bench
Dataset and benchmark for RAG on company internal documents.
★ 611
Stars
72 forks · 13 open issues
+4.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
21.6
Momentum / 100
see the breakdown below
8mo ago
Created
last push 2mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 3.8 | +4.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.65× the monthly pace |
| Freshness | 15 | 9.8 | last push 2mo ago; decays to zero at 180 days |
| Scale | 15 | 8.1 | 611 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 21.6 | sum of the above |
Detail
| Topics | benchmarkdatasetenterpriseenterprise-searchevaluationgenerative-aiinformation-retrievalknowledge-baselarge-language-modelsllmllm-evaluationpythonquestion-answeringragrag-evaluationretrieval-augmented-generationsemantic-searchsynthetic-datasynthetic-data-generation |
| Matched on | RAG (rag, retrieval-augmented-generation, semantic-search) LLM & Inference (large-language-models) |
| Short window | +4 stars over 7 days = 0.6/day |
| Long window | +23 stars over 26 days = 0.9/day |
| Lifetime average | 2.36 stars/day over 259 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |