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April 9, 2025

Build, debug, & query Redis Cloud faster with Redis Insight

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,...

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April 8, 2025
Spring Release 2025: New tools for building AI apps

Introducing LangCache and vector sets, simple solutions for high-performing AI apps

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,...

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April 8, 2025
Spring Release 2025: Vector sets: A new native data type

Announcing vector sets, a new Redis data type for vector similarity 

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...

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April 2, 2025
What's New in Two March blog

What’s new in two: March 2025

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...

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March 31, 2025
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Improving information retrieval with fine-tuned rerankers

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...

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March 28, 2025
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LangGraph & Redis: Build smarter AI agents with memory & persistence

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...

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March 27, 2025
Redis vs. OpenSearch: What’s faster for GenAI & vector search?

Redis vs. OpenSearch: What’s faster for GenAI & vector search?

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...

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March 7, 2025
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Searching 1 billion vectors with Redis 8

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...

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March 6, 2025
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Evaluating information retrieval with NDCG@K & Redis

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...

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March 5, 2025
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What’s new in two: February 2025

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...

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March 5, 2025
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Get better RAG by fine-tuning embedding models

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...

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February 20, 2025
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Smarter memory management for AI agents with Mem0 and Redis

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...

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February 18, 2025
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Collaborative filtering: How to build a recommender system

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...

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February 11, 2025
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Redis 8.0-M03 is out. Even more performance & new features.

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...

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February 5, 2025
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You need more than a vector database

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,...

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February 4, 2025
Redis Blog Embedding Models For Semantic Caching Blog Card

What’s the best embedding model for semantic caching?

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. But to...

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February 3, 2025

From zero to RAG: Building your first RAG pipeline with RedisVL

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...

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January 31, 2025
blog card What is content-based filtering

What is content-based filtering? A guide to building recommender systems

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...

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January 31, 2025
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What’s new in two – January edition

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...

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January 30, 2025
AI readiness 5 key questions

What smart leaders ask about AI readiness: 5 key questions

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 leadership, a strong data-driven...

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January 27, 2025
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7 ways to modernize your apps

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,...