Building AI Apps with PostgreSQL

PostgreSQL is quietly becoming the default database for AI applications. With native JSON support, full-text search, the pgvector extension, and a battle-tested extension ecosystem, Postgres gives you a single, reliable foundation for everything from transactional data to embeddings to LLM memory — without bolting on a separate vector store. Building AI Apps with PostgreSQL is a practical, engineer-led summit about shipping AI features on a Postgres-backed stack. Sessions cover the full lifecycle of an AI application: storing and indexing embeddings with pgvector, designing retrieval pipelines for RAG, combining semantic and keyword search, managing conversation and agent memory, handling unstructured data alongside relational records, and keeping the whole thing fast and observable in production. You'll hear from engineers who have run these systems at scale — what worked, what broke, and the patterns they'd reach for again. Whether you're adding your first AI feature to an existing Postgres database or designing a new AI-native product from scratch, this event will give you the architecture decisions, benchmarks, and operational playbooks to build with confidence.