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FinanceFlow AI: source-grounded RAG Q&A over finance documents
Aissugur Kurganbekov +1: Claude Opus 4.8 (1M context)Full-stack MVP: FastAPI + SQLite backend, React/Vite frontend. - Upload PDF/TXT -> chunk -> TF-IDF retrieval -> focused extractive answer - Two abstention gates + citations for anti-hallucination - Golden-dataset evaluation (UI + CLI) with coverage/abstention/evidence metrics - One-click demo mode, sample-question chips, clean B2B dashboard - Logging, global exception handler, validated/typed API with Swagger docs - 19 pytest tests + GitHub Actions CI - Dockerfiles, docker-compose, Makefile Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>fc5156b