Spring AI 1.0 is here—an AI engineering solution for Java with powerful new features. Natively integrated with Redis as a vector store, it makes building fast, intelligent apps easy for Spring Boot developers.

The Redis Labs Blog offers insights, tutorials, and best practices for using Redis, an open-source in-memory data store, and other Redis-related technologies. Developers can learn about Redis data structures, caching strategies, and real-time data processing using Redis Streams. Additionally, the blog covers topics such as Redis clustering, high availability setups, and integrating Redis with other databases and frameworks, providing resources for building scalable and performant applications.

Redis

Spring AI 1.0 offers AI engineering solutions integrated with Redis as a vector store, enhancing Java-based application speed and intelligence. It supports image, transcription, embedding, and chat models, along with features like system prompts, memory, tool calling, and retrieval augmented generation. The platform provides Spring Boot autoconfigurations and supports GraalVM and virtual threads. Developers can easily build scalable AI apps using familiar Spring tools and can integrate AI systems with other services using Model Context Protocol.

Build fast, production-worthy AI apps with Spring AI and Redis