August 2024 Summaries

Redis Cloud is now available on the Vercel Marketplace, enabling developers to build fast data and GenAI applications for next-generation apps using Next.js. By integrating Redis Cloud with Vercel's platform, developers can create efficient, scalable applications without worrying about infrastructure management. This integration allows users to deploy and integrate the fastest vector search, caches, and online feature stores, improving real-time app experiences at sub-millisecond speeds. Redis Cloud is a game-changer for Vercel users, making it easier than ever to add Redis Cloud to their projects and power next-generation applications.

Today, Redis is introducing new products and capabilities aimed at helping developers build fast applications in the era of Generative Artificial Intelligence (GenAI). These include Redis for AI, an integrated package of all Redis' AI capabilities and support needed to bring GenAI apps into production; Redis Flex, a cost-effective memory solution that reduces costs by up to 80%; and Redis Copilot, a virtual assistant for Redis users. Additionally, the company is making its Community Edition (CE) more accessible and integrating all features of Redis Stack into it. These new offerings are designed to empower developers to build GenAI apps while leveraging AI in their own products, marking a new era of fast where Redis is an essential part of the new stack for AI.

Redis, in collaboration with Superlinked's vector compute framework, offers a solution for complex data processing that can be used to build real-time applications with high responsiveness and low latency. This combination is particularly useful for large language models (LLMs) dealing with structured data types like prices, dates, product categories, and popularity metrics. Superlinked's vector compute framework enables the creation of custom vector embeddings that combine structured and unstructured data in one unified vector space, while Redis' lightning-fast vector database is ideal for customer-facing use cases requiring quick responses such as real-time recommender systems. This partnership helps enterprises overcome challenges in moving from proof-of-concept to production and fully realize the potential of their GenAI apps.

Redis Data Integration (RDI) is a no-code solution that enables seamless data integration and faster data access by mirroring data from existing databases to Redis in near real-time. It establishes an end-to-end pipeline using Capture Data Change (CDC) mechanism and Stream Processor, ensuring enterprise-grade reliability and availability. RDI supports popular databases, requires no code, and allows declarative configuration using YAML files, making it flexible and easy to use. The solution is fully integrated with Redis Insight, a powerful developer tool that simplifies pipeline creation and management, providing features such as automatic completion of configuration files, testing target database connections, and deployment options. With RDI and Redis Insight, developers can build fast apps at scale faster than ever before, while also getting tutorials on querying data directly in Redis for real-time use cases.