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@kashaffnoorby Kashaf Noor · Arbotrix
Python
rag-cost-latency-router
Benchmarks a cost-latency optimized RAG router: static vs adaptive top-k retrieval. Adaptive router uses similarity-score elbow detection to right-size context per query — no extra LLM calls. Tested on 50 QA pairs via Gemini: 17% fewer input tokens than static k=5, with higher Exact Match and F1. Includes a data-driven margin calibration script.
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