Beyond Vector Search: How Distributed PostgreSQL Powers, Resilient, Enterprise-Grade AI Applications

As enterprises move from GenAI prototypes to in-production applications, standalone vector databases often fall short on synchronization, ACID compliance, and resilience. This session demonstrates how PostgreSQL-compatible distributed SQL databases address these challenges while maintaining a familiar developer experience. We’ll cover scaling RAG architectures with pgvector across regions, multi-agent patterns. Attendees will learn how to achieve ultra-resilience for peak traffic, grey failures, and disasters, along with key design principles such as unified data sources, open standards, and multi-tenant security. Engineers and architects will leave with practical strategies for building globally scalable, enterprise-grade GenAI applications. Learn More • https://www.yugabyte.com/ • https://www.yugabyte.com/blog/using-yugabytedb-to-power-a-rag-pipeline/ • https://docs.yugabyte.com/stable/develop/ai/hello-rag/ About the Speaker Karthik Ranganathan is Co-CEO and Co-Founder at Yugabyte, the company behind YugabyteDB, the open-source, high-performance distributed SQL database for building global, cloud-native applications.. Karthik was one of the original database engineers at Meta(Facebook), responsible for building distributed databases such as Cassandra and HBase. He is an Apache HBase committer, and also an early contributor to Cassandra, before it was open-sourced by Meta.