The Open Source Approach: Building Production-Ready AI Apps with Postgres | Mike Josephson

In this session, Mike Josephson from pgEdge explores what it takes to move AI applications from prototype to production using PostgreSQL as the foundation. Mike discusses the practical challenges organizations face when deploying AI systems at scale, including security, data sovereignty, operational control, token efficiency, and enterprise governance. He also demonstrates how tools such as MCP servers, retrieval-augmented generation (RAG), vector search, automated embeddings, and AI-assisted database operations can help teams build and manage production-ready AI applications. The session highlights how PostgreSQL can serve as a central platform for AI workloads while simplifying infrastructure, maintaining data control, and supporting enterprise requirements. Speaker: Mike Josephson pgEdge This session was recorded as part of the Postgres World Webinar Series 2026.