Built a full-stack RAG platform that answers questions over private documents and shows its work. Hybrid retrieval fuses vector cosine, keyword, and phrase scores, then reranks and applies an evidence threshold so the system refuses when support is weak. Every answer returns exact source citations, a confidence signal, and a request trace ID. Includes an offline evaluation runner, JWT/Argon2 auth, and Docker Compose.