Redis for AI Applications: Enhancing Performance and Indexing

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The chapter explores how Redis can be utilized in AI applications, focusing on its performance advantages and indexing mechanisms. It discusses the importance of Redis as a cache for critical applications and its role in ensuring high-performance user interactions. Additionally, it examines the concept of semantic caching to accelerate response times and the benefits of using Redis in the RAG pipeline for improved application development processes.

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.