Uber’s CacheFront serves 150M+ reads per second with 99.9%+ cache hit rates, and does it while maintaining strong consistency guarantees.

Meet "Podbot," an AI chatbot @guy.dev built using Azure OpenAI to recommend podcasts based on your preferences. It uses Redis Memory Server to manage memory, so it remembers what you like across conversations. Build your own Podbot here (and feel free to open a PR): github.com/redis-develo...

Redis Open Source 8.4 is now GA. It’s faster, more scalable, and now has hybrid search. It’s the most advanced version of Redis yet, continuing our mission to make Redis faster, simpler, and more powerful.

We worked with @deeplearningai.bsky.social to create a new course called "Semantic Caching for AI Agents." Redis experts will help you build a semantic cache that makes AI agents faster and more cost-effective by recognizing when different questions mean the same thing.

Redis Agent Memory Server is our OSS tool for managing memory for agents and AI apps. @riferrei.com walks you through deploying Redis Agent Memory Server on Amazon EC2 using Terraform, creating a scalable, production-ready setup to power AI apps with intelligent memory. medium.com/@riferrei/de...

Semantic routing improves predictability and efficiency in AI systems. RedisVL classifies user queries without LLM calls, reducing token usage and latency. Combined with LangGraph, it creates a deterministic flow for routing, execution, and decision logic. Read how here: medium.com/@bhavana0405...

🧵 1/ LLMs are stateless. They don’t remember past interactions. Every prompt is treated as an isolated request. To build actual agents, we need memory. Here’s how to do it using Spring AI and Redis — short-term + long-term memory, fully integrated. (@redis.io)

In my latest video, I discuss the 6️⃣ technical aspects that *actually* determine vector database speed—from hardware vectorization to quantization tradeoffs to chunking strategies. There is no vendor pitch, just technical analysis. 😉 🎥 Watch it now: www.youtube.com/watch?v=3ZOt...

Do you want to learn how to develop searches using @redis.io that doesn't look like the situation below? I will be doing a live demo about this on May 14, 2025 at 9:00 am PT. You will get to see how data is handled and processed using #Golang and #Redis. redis.io/events/moder...

1/🤔 Have you ever heard of the Count-min Sketch data structure? We just added full support for it in Redis OM Spring — and it fits right in alongside other probabilistic data structures like Bloom and Cuckoo filters. Quick rundown 👇 cc @redis.io

@redis.io is proudly sponsoring @devoxx.uk! Visit our booth to chat about vector databases, semantic caching, AI integration, or even UFOs! 🛸

In this hands-on tutorial, I show how to design an AI agent using #LangGraph that stores thread-scope memory (conversational memory) using the native check-pointer created by @redis.io. ➡️ Check it out: www.youtube.com/watch?v=k3FU...

1/4 Every time I present the same talk, it gets better. Sometimes because I spot things to improve. Sometimes because of great feedback from the audience. Check it out 🧵 cc @redis.io #javabubble

Good news, everyone.

Redis is open source again: antirez.com/news/151

It's a big day for us – Redis 8 is GA today. It's fast, loaded with new features, comes with the tools in Redis Stack included – and it's open source. Read more here: redis.io/blog/redis-8...

Just dropped a new guide on how to build semantic search using Spring Boot and Redis! Instead of matching exact words, we use semantic search to understand what the user means. dev.to/raphaeldelio... cc @redis.io @jeffquesado.ulivre.dev @carlosenog.dev @lobaorn.bsky.social #javabubble

Semantic search is searching for meaning instead of exact keyword match. It's possible with Vector Similarity Search, a technique that combines Vector Databases, such as Redis, with Embedding Models, such as Hugging Face Transformers. Enjoy the video! www.youtube.com/watch?v=o3XN... cc @redis.io

This is so incredibly cool. Embeddings are lingua franca for so many retrieval/LLM/recommendations use-cases and I really enjoyed working with embeddings in Redis via the search module, can’t wait to try this.

Redis 8 RC1 is out! New features include numerous performance improvements, more commands around hash field expiration, and a new data type written by @antirez.bsky.social—the OG himself—called vector sets. Redis 8 RC 1: hub.docker.com/_/redis. Vector sets: github.com/redis/redis/... @redis.io

Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data Redis demonstrates that fine-tuning smaller embedding models on domain-specific data outperforms larger models for semantic caching. 📝 arxiv.org/abs/2504.02268

I recently joined my long-time friend @jtowermi.bsky.social on the Blue Blazes podcast to talk all things @redis.io—how it works, why it's awesome, and how devs can speed up their apps with it. J. loves Redis and, frankly, I think he just wanted to pick my brain. 🧠

I'll be talking about Vector Databases, Vector Similarity Search, RAG, and Semantic Cache tonight! All of that going around the Apollo 11 space mission! www.meetup.com/utrecht-java... #devbubble #javabubble cc @redis.io

Say you need to develop a solution that keeps a counter for unique elements. Your task is to choose a technology and/or an implementation pattern to make this happen. You are expected to store 100M elements, each 512KB in size. 🧵

1/7 Today my rate limiting with Java & Redis series comes to an end. In the last episode of this series, we learn about the Sliding Window Counter algorithm, that is much more efficient than the Sliding Window Log and still quite precise. youtu.be/Wvm_u0IR69M #java #redis @redis.io

New video alert: "Redis Insight: A Developer's Deep Dive" 🎥 In this video, I share 10 features of #RedisInsight that can significantly enhance your experience working with @redis.io. www.youtube.com/watch?v=dINU...

Looks like @jfokus.se has already posted the video of my talk last week. It covers embeddings, vector databases, and convolution neural networks. Plus, I demo it all using @redis.io as my vector database and Node.js. Most importantly, I found my meme twin! www.youtube.com/watch?v=Ybva...

Nice sample of a #recommender in #python @redis.io - builds on embeddings -- will allow one to trying more sophisticated techniques!

Coding with AI episode 1. I start easy, will get to more complicated stuff in the next episodes: www.youtube.com/watch?v=_pLl...

Working on my talk Florida Man Uses Cache as Database for @codemash.bsky.social next week. Working on the slides, but the repo is ready to be played with at github.com/guyroyse/flo.... It uses @redis.io's vector search to find the Florida Man news you need. Try it out and let me know how it goes!

Tired of going back and forth between your IDE and the terminals with Redis CLI? What if I told you this is no longer necessary? 🤔 I'm excited to share that with #Redis8, @redis.io created a native extension for #VSCode. Learn more about this here. 👇🏻

Dear friends, I'm rejoining Redis. It's a long story, so it deserved a blog post to explain all the details: antirez.com/news/144

With Redis 8, there is a return on investing in the community edition (the code you just download from Github), probably what made this possible is the license change. Anyway interesting new features / improvements: redis.io/blog/redis-8...