Mr. Chaitanya Kulkarni

Empowering Generative AI with Oracle Vector Search: Bridging Semantics and Enterprise Intelligence

Abstract:

Generative AI is transforming how organizations interact with data, but it's true potential is unlocked when paired with enterprise-grade semantic search. This keynote explores how Oracle Database 23ai integrates AI Vector Search to enable Retrieval Augmented Generation (RAG), allowing large language models (LLMs) to access and reason over private enterprise data without compromising security or performance.

Attendees will gain insights into how vector embeddings represent the semantic meaning of structured and unstructured data—documents, images, support incidents, and more—and how Oracle’s converged database architecture allows seamless integration of vector search with relational, JSON, and business data. Real-world use cases will demonstrate how developers can combine customer preferences, product metadata, and AI-powered similarity search using just a few lines of SQL. The session will also highlight Oracle’s mission-critical OLTP strengths, enabling real-time AI search for fraud detection, risk profiling, and intelligent support systems.

This talk will inspire participants to rethink how databases can power intelligent systems and deliver scalable, secure, and context-aware AI solutions for the modern enterprise.

Profile:

Chaitanya Kulkarni is a Principal DevOps Engineer at Oracle America Inc., where he leads architecture and operations for Oracle Autonomous Database services. With over 15 years of experience in database performance engineering, automation, and cloud-native infrastructure, he is a trusted escalation point for critical production issues and a recognized innovator in intelligent systems design. Chaitanya specializes in AWR diagnostics, SQL tuning, and Python-based automation for health checks and reporting. He has authored 50+ technical documents widely used across global teams and has received multiple awards for excellence and collaboration. His current focus includes integrating Generative AI with database diagnostics.