index / nourayman21k/Adaptive_Jev_RAG
Adaptive_Jev_RAG
Adaptive RAG over 10 RAG research papers: a fine-tuned BERT router (96.7% accuracy, 13.8 ms/query) sends each question to a direct LLM answer, web search or corrective RAG. Benchmarked against a 4B LLM router (JEV), evaluated with RAGAS, served with FastAPI + Streamlit in Docker.
Research and EvalsRoutingListedJupyter Notebook
Repository
Stars0
LanguageJupyter Notebook
License—
Created2026-10-20
Last pushed2026-10-22
Officialno
Judgment
Genuine Jev project0.88
gate 0.5
Uses Jev at runtime0.80
Is a meta list0.02
Is a reimplementation0.83
Quality scales
Substance1.96 / 3
gate 0.5
Docs2.78 / 3
Novelty1.47 / 3
Composite score0.67
Category distribution
Research and Evals0.68
Applications0.24
Agent and Dev Tooling0.07
Integrations0.01
SDKs and Clients0.00
Games and Simulation0.00
Learning0.00
Other0.00
Assigned categoryResearch and Evals
Category probability0.68
Category confidence0.63
PatternRouting
Pattern confidence1.00
Curation
StatusListed
Reasongate passed
README pickno
Overridenone
Sources
- search:jev in:name,description,readme created:2026-10-20
Provenance
Modeljev-1.14.0
Question setv2
Judged at2026-10-23 11:02 UTC