Tech

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 the ori...

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 expanding on what I covere...

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

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 t...

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 inefficiencies get in the...

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 more vectors and...

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

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 expanding on what I cov...

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....

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 fact that so many users face this...

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 to ...

Unless you’ve been off the grid the past two years, you’ve likely come across the term “vector database” in conversations about GenAI. I joined Redis in 2022, pre-ChatGPT, when vectors ...

Semantic caching is changing how we optimize systems reliant on large language models (LLMs). By using vector embeddings, it enables faster, cost-effective responses for similar queries....

You know that mix of excitement and uncertainty when you’re starting something new? That’s exactly how I felt when I set out to build a Retrieval Augmented Generation (RAG) pipeline usin...

You know that mix of excitement and uncertainty when you’re starting something new? That’s exactly how I felt when I set out to build a Retrieval Augmented Generation (RAG) pipeline usin...

Users like options, but too many options can lead to analysis paralysis. That’s where recommender systems come in. These tools have come a long way, making it easier for businesses to o...

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 January and expanding on what I cove...

Artificial intelligence is transforming the way organizations operate, innovate, and compete. But building an effective AI strategy requires more than just technology. It’s about leaders...

Switching from legacy systems to modern architectures for apps can feel like heavy lifting—but it’s one of the most important things businesses can do today to move faster, keep customer...

As companies scale, their systems face increasing amounts of data and traffic, putting application performance at risk. Issues such as slower response times, downtime, and even server cr...