Vertex AI Vector Search 2.0 - From Zero to Billion Scale

Explore Vertex AI Vector Search 2.0 in this 50-minute tech talk featuring Google's Kaz Sato, who demonstrates how to build production-ready vector search systems that scale from zero to billions of records. Learn about the latest features including auto-embeddings that eliminate manual embedding generation, unified storage architecture for simplified data management, self-tuning indexes that automatically optimize performance, and hybrid search capabilities that combine vector and traditional search methods. Discover practical implementation strategies for rapidly deploying scalable vector search solutions and understand how these advanced features can accelerate your journey from prototype to production-ready search systems in just minutes.