Utah Oracle Users Group (UTOUG)

Oracle 23ai introduces powerful Vector Search capabilities, enabling businesses to perform high-speed, AI-driven similarity searches across massive datasets. This session will break down how Oracle’s native vector database seamlessly integrates with existing workloads, enhances retrieval-augmented generation (RAG) for AI models, and optimizes search performance with advanced indexing techniques. Please join this presentation for a rapid-fire overview of its key features, use cases, and why it’s a game-changer for AI-driven applications.

Ever felt overwhelmed by the complexity of integrating LLMs with database applications? Join me as I demonstrate building a fully functional desktop web application that connects to any database that supports vector types and any LLM in just 20 minutes. Through live coding, I'll show you how a well-structured API and carefully crafted LLM prompts can dramatically accelerate development time. This isn't just about rapid prototyping – it's about revolutionizing how we approach database-driven AI applications. Whether you're a seasoned DBA or a developer exploring database and AI integration, you'll walk away with practical insights to transform your development workflow.
For this session the I'll be using MySQL Enterprise Edition On-Premise, which means it can be run on your laptop, desktop, OCI compute instance, AWS, etc… There is also an associated Hands-On-Lab that you will receive pre-release access to.