From Queries to Agents: The Next Era of Data Retrieval on PostgreSQL | POSETTE 2026
Postgresql Ai agents Model context protocol Mcp Data retrieval Vector similarity search Azure postgresql Sql generation Rag Retrieval augmented generation Database architecture Graph traversal Context correction
This talk explores how PostgreSQL is evolving to support AI agents in production through emerging retrieval patterns. It covers the Model Context Protocol (MCP) for agent-database communication, common pitfalls when agents generate SQL blindly, and how blended retrieval combining vector similarity, relational SQL, and graph-aware traversal creates reliable data access. Designed for developers building AI-powered applications who need practical patterns for safe, context-aware database interactions with PostgreSQL.