Co-authored the Packt book Full-Stack Web Development with Spring Boot and Angular; Devlin has been using Java and JavaScript to build web apps and mobiles for their customers for years. He has been a Microsoft MVP and an on-site Angular trainer for five years.

This talk dives into the world of vector databases, an essential tool for handling complex data in machine-learning applications. We will explore how Retrieval-Augmented Generation (RAG) models significantly enhance search capabilities in vector databases. The session will cover the fundamentals of vector embeddings, distance metrics, and their applications in RAG. Participants will gain insights into how RAG models improve query accuracy and efficiency, followed by a live demonstration showcasing the integration of RAG with vector databases.