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Vector Similarity Search in Spring with Redis
Fri, 26 April, 1:20 PM - 2:20 PM GMT+5:30
Vector Similarity Search (VSS) isn't just confined to AI/ML showcases; its applications are vast, spanning from eCommerce and recommendation systems to chatbots, visual search, and even chemistry. Dive into the world of VSS implemented through Spring, leveraging the enhanced search prowess of the Redis Stack. This session will guide you through embedding data intricacies, the ins and outs of Vector databases, data Vectorization, and a comprehensive understanding of similarity metrics.
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About the speaker
Brian Sam-Bodden
Senior Applied AI Engineer
Brian Sam-Bodden is a Senior Applied AI Engineer at Redis as well as an author, instructor, speaker, developer advocate and open source contributor and Java Champion 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”.
