Dear community, Apache CouchDB® 3.3.3 has been released and is available for download. https://couchdb.apache.org/#download Pre-built packages for Windows, macOS, Debian/Ubuntu and RHEL/CentOS are available. CouchDB 3.3.3 is a maintenance release, and was originally published on 2023-12-05. The community would like to thank all contributors for their part in making this…
Dear community, Apache CouchDB® 3.2.3 & 3.3.2 have been released and is available for download. Apache CouchDB® lets you access your data where you need it. The Couch Replication Protocol is implemented in a variety of projects and products that span every imaginable computing environment from globally distributed server-clusters, over mobile…
How Confluent and Redis Enterprise work together Utilizing connectivity tools like Confluent Connect, the integration between Redis Cloud and Confluent streamlines data interchange between applications and data systems. Redis Cloud facilitates real-time access and analysis across various data sources, seamlessly integrating into streaming data environments. The Redis sink connector facilitates…
Click image to view video Welcome to “What’s New in Two,” the place to catch up on the Redis releases you might have missed from last month. In this article, we’ll delve deeper into developments from April, expanding on what I covered in our latest video. I’ve included a video…
Introduction Vector databases frequently act as memory for AI apps. This is especially true for those powered by large language models (LLMs). Vector databases allow you to perform semantic search, which provides relevant context for prompting the LLM. Until recently, there weren’t many options for building AI apps with Spring…
Redis recently announced its achievement of the Google Cloud Ready designation for CloudSQL and AlloyDB. Cloud SQL is Google Cloud’s fully managed relational database service for MySQL, PostgreSQL, and SQL Server. AlloyDB for PostgreSQL is Google Cloud’s newest fully managed PostgreSQL-compatible database service. This designation signifies that Redis’ solution has…
Click image to view video Welcome to “What’s New in Two,” the place to catch up on the Redis releases you might have missed from last month. In this article, we’ll delve deeper into developments from March, expanding on what I covered in our latest video. I’ve included a video…
You have trusted Redis for over a decade because we make it easy to create powerful, fast applications that perform at scale––and we try hard to deserve that reputation. Redis is continuing that spirit with all the innovation we put into Redis 7.2. Here’s what we are doing to increase…
RedisTimeSeries is a Redis module that brings native time-series data structure to Redis. Time-series solutions, which were earlier built on top of Sorted Sets (or Redis Streams), can benefit from RedisTimeSeries features such as high-volume inserts, low-latency reads, flexible query language, down-sampling, and much more! Generally speaking, time-series data is…
Why does RAG need real-time data? We’re seeing Retrieval Augmented Generation (RAG) become the de facto standard architecture for GenAI applications that require access to private data. Nevertheless, some may wonder why it’s important to have real-time access to this data. The answer is quite simple: you don’t want your…