Redis Search and Vectors Performance Optimization

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Exploring Redis's longstanding role in search, focusing on its performance optimization for vectors, distributed dictionaries, and various data structures like JSON and hash. The chapter covers the implementation of vectors in Redis, indexing fields, K nearest neighbor search, and fine-tuning search results for enhanced application speed.

Redis is an in-memory database that can be used for caching, vector search, and as a message broker.

Brian Sam-Bodden is a Senior Applied AI Engineer at Redis. He joins the show to talk about his work and AI at the company.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.