Vector Similarity Search in Spring with Redis Stack

Track: Frameworks

Abstract

Vector Similarity Search (VSS) is no longer a feature that lives in AI/ML demos only! VSS has a wide range of applications including eCommerce, recommendation engines, chatbots, image and video search, and chemistry. In this talk, we'll learn how to implement VSS in Spring applications using Redis Stack enhanced search capabilities. We'll learn about creating embeddings for your data, learn about Vector databases, Vectorization of your data, similarity metrics, and more.

Brian Sam-Bodden

Brian Sam-Bodden is a developer advocate at Redis as well as an author, instructor, speaker, and open source contributor who has spent over twenty years crafting software systems. He holds dual bachelor’s degrees from Ohio Wesleyan University in computer science and physics. Brian is a frequent speaker at user groups and conferences nationally and abroad and is the author of “Beginning POJOs: Spring, Hibernate, JBoss and Tapestry”, co-author of the “Enterprise Java Development on a Budget: Leveraging Java Open Source Technologies” and a contributor to O'Reilly's “97 Things Every Project Manager Should Know”.