In a multi-tenant architecture, a single software instance serves many distinct user groups (or “tenants”). Each tenant’s data is securely isolated, ensuring that it remains invisible and inaccessible to others. Think of it like an apartment building with people living in separate and isolated units of a shared building. Within…
Large language models (LLMs) are trained on massive sets of public data and excel at generating human-like text based on that information. However, they don’t have access to private or corporate data, which limits how effective they are for enterprise use cases. Retrieval-augmented generation (RAG) is a popular approach to…
Redis now integrates with Kernel Memory, allowing any dev to build high-performance AI apps with Semantic Kernel. Semantic Kernel is Microsoft’s developer toolkit for integrating LLMs into your apps. You can think of Semantic Kernel as a kind of operating system, where the LLM is the CPU, the LLM’s context…
Click here 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 May, expanding on what I covered in our latest video. I’ve included a video…
Accelerate your GenAI app development with Redis–the world’s fastest data platform for real-time data and AI apps. Now, with Redis and NVIDIA NIM inference microservices, you can build and deploy GenAI apps faster. Companies are looking for ways to bring their GenAI apps to production, so they can apply recent…
We don’t just help you build fast apps. We help you do it fast. That’s why we’re excited to announce that Redis Data Integration (RDI) has arrived for Redis Software (with Redis Cloud soon to follow). RDI is our tool built to synchronize data from your existing database into Redis…
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…
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…
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…
With the End-of-life of Node 16, we have now added Node 20 support to Gitea Actions. This is thanks in part to freshollie, the nektos/act maintainers, SupremeVoid, and the Gitea team. To be able to use Node 20 actions, you'll need to update your runner to version v0.2.6. If you…