See what we think

AI agents are systems capable of pursuing and achieving goals by harnessing the reasoning capabilities of large language models (LLMs) to plan, observe, and execute actions. In 2025,...

Since its earliest versions, Kong has supported Redis. Today, Kong API Gateway and Redis integration is a powerful combination that enhances API management across three main groups of...

What happened? As part of an ongoing effort by the Redis Community and Redis to maintain Redis safety, security, and compliance posture, a security vulnerability in Redis has...

We’re thrilled to announce our partnership with Unstructured, combining their powerful data preprocessing expertise with Redis’ real-time AI capabilities. Together, we’re making it easier than ever for organizations...

Late last year, Redis and Microsoft announced Azure Managed Redis (public preview) , a fully-managed, scalable, in-memory data store that gives Azure developers everything they need to build...

In today’s API economy, milliseconds matter. See how Redis Cloud takes Apigee from great to exceptional. APIs are the backbone of modern apps. Google Cloud’s Apigee gives teams...

See how Redis and Arhasi make CCAI faster, smarter, and more cost effective Google’s Contact Center AI (CCAI) has transformed how businesses engage with their customers. It uses...

Redis Cloud, the most powerful, scalable managed Redis service, just tripled your productivity, writing fast apps faster. As devs, having the right tools at your fingertips while building,...

Today, we announced two new offerings for AI developers to help them build better apps. Redis LangCache, a new fully-managed semantic caching service for AI apps and agents,...

Redis is excited to announce the introduction of vector sets, a groundbreaking data type designed for vector similarity. Inspired by the core principles of Redis and developed by...

Welcome to “What’s new in two,” your quick hit of Redis releases you might have missed in the past month. We’re covering the latest developments from March and...

Colab Notebook on Github Retrieval-augmented generation (RAG) is often overhyped, leading to unmet expectations after implementation. While it may seem straightforward—combining a vector database with a large language...

Today, we’re excited to introduce langgraph-checkpoint-redis, a new integration bringing Redis’ powerful memory capabilities to LangGraph. This collaboration gives developers the tools to build more effective AI agents...

Why Redis stands out for GenAI & vector search GenAI is more powerful than ever, but most apps still feel slow. Users expect instant responses, but latency and...

As more and more companies get GenAI apps into production, we’re seeing increasing requests from customers for larger vector databases. We see use cases for a billion or...

Full Colab NoteBook on Github. Evaluating information retrieval (IR) systems is essential for informed design decisions and understanding system performance. Successful companies like Amazon and Google rely heavily...

Welcome to “What’s new in two,” your quick hit of Redis releases you might have missed in the past month. We’re covering the latest developments from February and...

Full Notebook on GitHub. Modified Notebook on GitHub. To build an effective question-answering system like RAG for finance, you need a model that understands the industry’s vocabulary. Generic...

We’re happy to announce the integration of Mem0 with Redis, a powerful combination that enhances the capabilities of AI agents by providing efficient and scalable memory management. Mem0...

When users sit down to watch a movie on Netflix, they face a problem untold numbers of Netflix users have faced before: What to watch next? Luckily, the...

We’re happy to announce the third milestone of Redis 8.0, our most advanced and performant offering yet.  As we progress toward the general availability (GA) release, we’re committed...