Most AI apps on # PostgreSQL are still in experiment mode. Getting to production means solving three specific problems: security hardening, grounded responses,
Most AI applications built on PostgreSQL are still in experimental stages, facing challenges in security, response grounding, and token efficiency. Mike Josephson will discuss an open-source stack including MCP Server, a vectorizer, and a RAG Server with hybrid pgvector and BM25 search capabilities. These tools are PostgreSQL-licensed, ensuring data sovereignty and avoiding the need for re-platforming. AI
IMPACT Offers solutions for deploying AI applications on PostgreSQL, addressing challenges in security, response grounding, and token efficiency.