Optimizing GenAI Apps with pgvector: Database Design for Peak Performance

Speaker
Karthik Ranganathan, Co-founder, Co-CEO, Yugabyte

Abstract
AI fundamentally depends on data, making robust database architecture critical. As GenAI apps are intrinsically cloud-native, resilience and scalability are crucial to prevent outages and ensure seamless operations. This means that scaling your database to meet the demands of AI workloads, while maintaining transparency and a simplified user experience, is essential for business success.
Fast storage, indexing, and searching of vector data make it easier to perform similarity searches and machine learning tasks. In this session, we’ll discuss database architecture considerations, successful AI implementation approaches, and the benefits of incorporating pgvector into your database architecture.

Join us on Thursday, April 17, from 6:00 PM - 8:00 PM PT for an in-depth discussion with Karthik Ranganathan as we explore best practices for designing resilient, high-performance database architectures for GenAI applications.

Food and beverages will be served