Taking RAG to Production — Evals, Observability, Security, and Beyond (Introduction)

Following the initial implementation of a RAG system using pgvector and Gemini, this sequel guide focuses on transitioning from a working prototype to a production-ready system. It addresses critical operational challenges by covering Evals, Observability, Security, MLOps, Fine-tuning, Multi-Agent systems, and Governance. The guide aims to solve quality problems encountered when deploying RAG or AI Agents, moving beyond basic Tool Use and MCP to ensure stability and security within a professional cloud deployment environment.