Redis Enterprise 7.2 Empowers Developers to Harness the Power of Real-Time Data
Redis has announced the unified release of Redis 7.2 across all of the company’s products and services, including open source, source-available, commercial cloud, software, and Kubernetes distributions. Redis Enterprise 7.2 cloud and software products preview a scalable search feature which delivers even greater performance for query and search use cases, including vector similarity search (VSS). Redis 7.2 also raises the bar for ease-of-use across the board from new core Redis capabilities to tooling while ensuring that the clients, integrations, and documentation deliver a seamless, unified experience. Additionally, with the growing challenges of building generative AI applications, Redis Enterprise has been enhanced to store vector embeddings while providing a high-performance index and query search engine. Moreover, newly supported client libraries and programmability enable developers to be more productive, work seamlessly across any Redis distribution. New Auto Tiering hosts large datasets across memory and SSD with more than twice the performance of previous versions. Moreover, Redis Data Integration simplifies app design and common integration patterns without code “Redis has also been an early mover in the emergence of vector database technology. Scalable search further optimizes the processing of low-latency vector workloads with a robust and performant search engine to make it easy for developers to build generative AI applications,” Rowan Trollope, CEO at Redis, said.
Redis Enterprise 7.2 introduces scalable search to its vector database capabilities, delivering even higher queries per second, furthering its best-in-class performance
Redis announced the unified release of Redis 7.2 across all of the company's products and services, including open source, source-available, commercial cloud, software, and Kubernetes distributions. 
[]
["programming_languages:R", "AI", "ML", "Scala", "generative AI", "programming_languages:Scala", "R", "kubernetes", "Redis"]
["AI", "ML", "generative AI", "kubernetes", "Redis", "R", "Scala", "programming_languages:R", "programming_languages:Scala"]
I have a keen interest in creative writing and artificial intelligence. As a journalist, I deep dive into the world of technology and analyse how it’s restructuring business models and reshaping society.