Production RAG pipeline + custom MCP

Document ingestion → vector DB → grounded Claude service, with caching, RAGAS evals and a remote MCP exposing internal tools to Claude Desktop.

Engineering · Stack: Python, MCP SDK, Claude API. Outcome: <800ms p95, ship-ready to enterprise