Pieter Cailliau

@motakasoft And we have lift-off! We welcome all your feedback, feature requests, bugs, ... github.com/RedisInsight/R… #Redis #RedisInsight/RedisInsight" target="_blank" rel="nofollow noopener">star-history.com/#RedisInsight/…

The new Redis vector store node lets you store embeddings, run high-speed similarity search, and power AI agents using your existing @Redisinc deployment. No new infrastructure required. 👉🏻 Read more here: n8n.io/integrations/r…

🚨 Hey Redis devs, your database just learned how to talk! 🚨 Ever wished you could ask your Redis DB questions instead of writing another query? Well, now you can! Redis has launched open-source MCP servers that let your AI assistant chat with Redis. redis.io/blog/introduci…

If you’re using Redis only to store strings, you’re seriously underutilizing it. In fact, Redis has been known from day one as a data structure server due to all the data structures it supports. Here are the ones you need to know: 🧵 cc @sseraphini @RealGalego @Redisinc

We're launching Vector-Sets by as part of Redis 8 - the first new native data type for Redis in a long time. Here's a demo that shows how easy it is to work with them, along with a developer tool called vector-sets-browser... Vector sets are cool... thx @antirez UI built with NextJS thx @rauchg (and with a kickstart from @v0 ;) youtube.com/watch?v=LQcerR…

Redis 8 adds a new data type called vector sets. I wrote some code to play with them and shared some of my thoughts on when I think they're useful. Check out the code and thoughts at guy.dev/2025/04/15/a-f…. Or—if you prefer Medium—at medium.com/the-guy-wire/a…. And, you probably have code and thoughts of your own. I'd love the hear them. Play around and share what you think.

Vector sets are a new native data type for Redis that lets devs easily access and work with vectors and use them in more composable and scalable ways. Developed by @antirez, vector sets complement our vector similarity search offering devs a lower-level way to work with vectors.

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

💥 Redis 8.0-M03 is out and it's packed with updates that matter for devs, like: ▶️ Boosted performance in single-core and multi-core environments. ▶️ New asynchronous I/O threading for improved efficiency. ▶️ Enhanced replication for faster, more reliable performance. ▶️ Latency improvements to PFCOUNT, PFMERGE, GET, EXISTS, LRANGE, HSET, and HGETALL. Get all of the details in our latest blog: redis.io/blog/redis-8-0…

Redis Copilot is your virtual assistant that makes building on Redis even faster and simpler. Copilot helps you: • Get qualified answers with Copilot’s up-to-date knowledge about Redis docs • Generate code snippets to help you develop apps with Redis faster • Answer questions about your data by generating and executing queries in Redis Learn more about what Copilot does and how we built it here: redis.io/blog/redis-cop…

🔈🚀 The first milestone of Redis 8 is now available in Community Edition. 🎉 Redis 8 introduces seven new data structures, including JSON, time series, and five probabilistic types, along with the fastest Redis query engine ever. These advanced capabilities, previously only available through Redis Stack or our Software and Cloud offerings, are now built natively into Redis Community Edition. Stay tuned for more updates as we work towards the GA release. 🔈🚀 redis.io/blog/redis-8-0…

Good news everyone! Redis for VS Code is out. A convenient GUI to work with your Redis instances right there in your IDE. marketplace.visualstudio.com/items?itemName…

#Redis 7.4 is out! 1. Hash Field Expiration (most requested feature ever!) 2. New vector data types: less memory, higher QPS, lower latency 3. Easier secondary indexing: no special TAG chars, empty field support, new geo search (intersect/disjoint) 4. Time series size reduction with insertion filters Check it out: redis.io/blog/announcin… (@Redisinc )

⚡️⚡️⚡️ php-redis-om: a brand new object mapper for @Redisinc with insane performance, by my colleague @ClementTalleu #PHP #Redis github.com/clementtalleu/…

@llama_index community works super fast! 💨 Thanks to @0xthierry, we now also have a @Redisinc Queue integration in llama-agents!!! As with our RabbitMQ integration, pip install with the "reddis" extra: pip-install llama-agents[redis]. After installation, you can use the new RedisMessageQueue as your message broker for your multi-agent system. Links ◦◦◦◦◦ Redis example guide: github.com/run-llama/llam… llama-agents Github (we hit 1K 🌟!): github.com/run-llama/llam…

@Redisinc Redis Query Engine was already GA, we made it more scalable (vertical), and this addition is now GA in software.

It's out—our June edition of What's New in Two. Here's what you missed: - Redis Data Integration (RDI) is now generally available and synchronizes data from external databases into Redis in near real-time. - Redis Copilot in Redis Insight makes it easy to query and explore your own data and without extensive technical knowledge. - Redis Query Engine is generally available on Redis Software and coming soon to Redis Cloud. - Client-Side Caching is in private preview for Redis Software. - Redis 7.2 Public Preview and E1 SKU on Azure Cache for Redis Enterprise is in preview mode. Read the full blog now for more info: redis.io/blog/whats-new…

Check out our blog for impressive results: #Redis #vector search is up to x50 faster than general-purpose DBs and x15 faster when combining throughput & latency, than special purpose vector DBs and imitators . Essential for #GenAI apps!  redis.io/blog/announcin… @Redisinc

Redis 7.4-rc1 is now available for Community Edition and Redis Stack. New features include field-level expiration commands for hashes, while Redis Stackadds even more with the new `bfloat16` and `float16` vector data types to optimize memory usage. github.com/redis-stack/re…

Real-time #RAG apps need more than traditional vector DBs. #Redis offers: Vector search up to 50x faster (benchmarks soon) Semantic cache reducing LLM calls by 30% Advanced LLM memory for personalized and more accurate responses Designed for speed, scalability, accuracy, and cost. Details here: redis.io/blog/using-red… (@Redisinc )

One of the most requested features from the #redis community is now available as a release candidate - Hash Fields expiration. ( lnkd.in/eMpE9r_G ). Furthermore, we added new bfloat16 and float16 vector data types in #Redis Stack, reducing memory consumption while maintaining accuracy. ( lnkd.in/eSv4Ka6N ) We are building Redis for real-time data and AI. More soon... (@Redisinc)

See how Axis Bank rebuilt its mobile experience around speed using Redis Data Integration to sync data between Redis and its primary database. Learn more here and get started with RDI today: redis.io/data-integrati…