Redis

Designing Recommendation Systems with Vector Technologies If you are familiar with how Netflix makes a recommendation about which movies and series to watch, you know the power of systems that focus on that. But have you ever wondered what does it takes to design a system like this? How much coding effort is necessary and which technologies to use? If this is you, then you are for a treat with this upcoming livestream from Redis. We will have Justin Cechmanek, Senior Applied AI Engineer at Redis, sharing his expertise on the topic of recommendation systems and walking you through into the code of one. No registration required. Just be there, enjoy the show, and interact with your questions. We look forward to see you there. Hosts: Ricardo Ferreira, Guy Royse Guest: Justin Cechmanek

We’re thrilled to see Eden go live. Eden is redefining real-time AI infrastructure, making multi-database synchronization seamless for next-gen applications. As part of the Redis for startups program, Eden used Redis’ high-performance database technology to build a faster, more scalable system for AI-driven workloads. Interested in learning more about Eden Labs? Check them out at eden.dev. Redis is committed to empowering startups with the speed, scalability, and support they need to bring game-changing innovations to market. If you’re an early-stage company building the future, check out the Redis for startups program and see how we can help.

Don't miss our livestream today at noon PT.

Redis and Fractal Tech are teaming up to host an event to dive into the current AI infrastructure bottlenecks: compute, data, and memory. The event will feature presentations from companies attempting to solve these problems, along with networking opportunities with fellow founders and thought leaders. If you are NYC based, join us in person on March 27 to learn more - space is limited, register here: https://lu.ma/9793az2i

?? The real AI revolution isn’t happening at the model layer—it’s happening above it. I had the opportunity to share some thoughts on where AI is headed in a new piece for Data Centre Review. https://lnkd.in/gN7EaAE2 While the industry and media has been fixated on the latest AI models, the real challenge is getting AI into production—and that means focusing on infrastructure, memory, and application architecture. One of the biggest hurdles? AI agents need memory. Just like human colleagues, they need to retain relevant information, learn over time, and retrieve knowledge instantly. That’s where a high-performance vector database becomes a game-changer. (Yes, this is where Redis shines! ??) If you're building AI applications, it’s time to think beyond the model layer. #AI #MachineLearning #AIInfrastructure #VectorDatabase #Redis #AIAgents

Redis University offers hands-on training with practical examples and real-world use cases, covering: ? JSON ? Monitoring & Observability ? Redis AI & Vector ? Redis Insight ? Scalability & Durability ? Search & Query Start learning with Redis U: https://lnkd.in/gaibUm6g

Vector databases have become the standard for building Retrieval Augmented Generation (RAG) systems, but on their own, they’re not enough to create a complete solution. While others race to catch up, Redis sets the standard with multi-tenancy, high availability, active-active replication, and durability—capabilities pure vector database vendors are still chasing. cc: Tyler Hutcherson

It’s time for “What’s New in Two”—swipe to see a roundup of new features and enhancements including the private preview of Redis 8.0-M03, the milestone release of RedisVL (0.4.0), and more. cc: Talon Miller

??Building AI apps using LangChain A new series from our friends at Redis on building AI applications using LangChain and Redis Covers RAG and semantic caching https://lnkd.in/gEfa4Xm3

RAG isn’t just a buzzword—it’s about using semantic search and AI to find and use information smarter and faster. Rini Vasan, an AI Product Marketing Manager at Redis, set out to build a Retrieval Augmented Generation (RAG) pipeline using the Redis Vector Library and also created a working AI assistant. Learn about her experience with RedisVL and start yours today: https://lnkd.in/gj2T4xsU?