Build with Rowan: Vector Sets & Browser

Redis CEO Rowan Trollope introduces Redis 8 Vector Sets — a new data type for storing, searching, and experimenting with vectors. Watch as he uses the Vector Sets Browser to explore embeddings and perform vector math in real time. What you’ll learn in this video Learn how Redis 8 Vector Sets make it simple to store, search, and visualize embeddings directly in Redis. In this first Build with Rowan demo, Rowan walks through how the new Vector Sets data type works and how to experiment with vector math, visualization, and hybrid searches using the Vector Sets Browser. Overview Redis 8 introduces Vector Sets, a new data type designed to power fast, accurate AI and search workloads. In this video, Rowan demonstrates how to use Redis to explore and manipulate vector data without extra tooling — all through the Vector Sets Browser, an open-source UI for building and testing vector sets. You’ll see how Redis can help you understand your data through vector visualization, perform operations like add and subtract on embeddings, and query hybrid data sources — making Redis a foundation for real-time AI applications. Key topics covered - Introduction to Redis 8 Vector Sets - How to store and query vector data - Visualizing embeddings in Vector Sets Browser - Performing vector math and hybrid searches Resources & links - Docs: https://github.com/redis/redis - Code/Repo: https://github.com/redis/vector-sets-browser - Try it out: https://redis.io/try-free Timestamps 00:00 - Intro 00:20 - Setting up the Vector Sets Browser 01:00 - Exploring vector data in Redis 8 02:10 - Performing vector math (add, subtract, combine) 04:00 - Visualizing embeddings and heatmaps 06:00 - Understanding hybrid search with Vector Sets Have questions? Drop them in the comments — we’re here to help. Subscribe for next month’s build: https://www.youtube.com/@Redisinc?sub_confirmation=1 #Redis #AI #Redis8 #VectorSets #VectorSearch #RedisCloud About Redis We’re the world’s fastest in-memory database. From our open source origins in 2011 to becoming the #1 cited brand for caching solutions, we’ve helped more than 10,000 customers build, scale, and deploy the apps our world runs on. With cloud and on-prem databases for caching, vector search, and more, we’re helping digital businesses set a new standard for speed.