Capstone: RAG Chatbot + Eval Set + Live Demo

# Submission (Capstone): RAG Chatbot + Eval Set + Live Demo ## Brief Ship a live RAG chatbot over the course corpus: grounded answers with citations, clean OOD refusals, single-agent tool loop, and a public demo recording + runbook. ## Dataset Course corpus index (your m1 benchmark winner config) + your m2 eval set + the 20Q golden suite (must stay green). ## Starter guardrails (plan 88) Winner chunking config only; wrapper + loop skeletons; env secrets; demo script checked in; cost caps on (abort at 5 calls, per-query token ceiling). ## 100-pt rubric Live demo works end-to-end 25; groundedness + citations 25; refusals 20; eval report quality 15; runbook + reproducibility 15. ## Deterministic checks -> LLM review Checks: demo URL/recording present; 20Q suite green; eval report has quality + cost columns. LLM review grades answer quality and refusal tone.