AI Agent Memory Architecture: Structured SQL, Semantic Vector Search & Memory Bank

Why watch

This advanced technical video from Google Cloud explains how to design memory systems for multimodal AI agents, teaching developers the critical distinction between storing exact facts in SQL databases (PostgreSQL, Cloud SQL) versus semantic understanding in vector stores (pgvector, AlloyDB). It covers practical implementation of asynchronous memory extraction to avoid blocking voice streams, handling raw audio/video perception, and when to use managed memory bank solutions.