Beyond Vector Search: Building Ultra-Resilient GenAI Applications...

Keynote: Beyond Vector Search: Building Ultra-Resilient GenAI Applications with PostgreSQL-Compatible Architecture - Karthik Ranganathan, Co-Founder and Co-CEO, YugabyteDB As AI applications evolve from proof-of-concept to production scale, standalone vector databases and search solutions face critical limitations around data synchronization, ACID compliance, and enterprise resilience. This session explores how PostgreSQL-compatible distributed databases can address these challenges while maintaining the familiar developer experience. We’ll cover: Why standalone vector databases create operational friction in production GenAI systems Implementing RAG architectures with pgvector that scale horizontally across regions Multi-agent patterns emerging in modern AI applications and their infrastructure requirements Ultra-resilience patterns: surviving peak traffic, grey failures, and multi-region disasters OpenSearch users evaluating their GenAI infrastructure strategy will learn practical approaches for building GenAI applications that can handle exponential growth while maintaining the reliability and consistency that enterprise applications demand.