Redis has announced two new offerings for AI developers: Redis LangCache, a fully-managed semantic caching service that makes AI apps faster and more accurate, and Vector sets, a native data type that allows developers to easily access and work with vectors. Both of these features are part of a comprehensive real-time data architecture that enables the development of GenAI applications. Additionally, Redis is expanding its GenAI ecosystem with new tools and integrations, including hybrid search, quantization, and support for int8 as an even more memory-efficient vector type. The company is also releasing Redis Agent Memory Server, which provides memory management for AI apps and agents, and Redis Cloud Admin API MCP Server, a natural-language Redis Cloud administrator. Furthermore, Redis Data Integration and Redis Flex are now available on Cloud Pro and Essentials respectively, offering change data capture and fast speeds across both RAM and SSD. Redis Insight is also available in public preview, allowing users to view, update, query, and search the data in their Redis database directly from their browser. Finally, Redis is making it possible to Bring Your Own Cloud and run Redis Cloud in your own Virtual Private Cloud today.