Redis

Three new partners in the Redis network. One shared north star: performance. LangChain, Tavily, and Railway are teams building the infrastructure that makes real-time AI possible. Different layers of the stack. Same standard for speed. Learn more about the Redis Partner Network: https://redis.io/partners/

Come build smart agents with cognee and us on Saturday 🧠

Agents without memory hallucinate, forget, and burn through API costs. LangGraph + Redis fixes these issues with stateful workflows, persistent memory, and real-world performance. Whether you're building RAG systems, customer support agents, or multi-agent orchestration, this guide covers the architectures and practical advice to get you there. Get the guide and go build: https://lnkd.in/gTD5RuJ7

🦙 Redis is sponsoring one of the biggest AI startup meetups in the bay - Llama Lounge 25!  There’s a cracked lineup of startups demoing you don’t want to miss. You might see me up on stage talking about Redis Context Engine 🤭 We’ll also have a booth where you can come chat and learn with Kasturi Vartak and Shauna Sampson! If you’re an early stage founder, you should probably be there. You still have a chance to rsvp before we fill up: https://lnkd.in/gAyfE5vf Thank you Jeremiah Owyang for organizing and letting us be a part of this ✨

Our team recently released the `sql-redis` package to pypi and the `SQLQuery` class to redisvl. run: `pip install "redisvl[sql-redis]"` And you can execute sql queries against a Redis index... pretty neat eh?

Blip processes 1.5 billion messages every month. Session state, message routing, and multi-step conversations across WhatsApp, Instagram, and Messenger all depend on fast, consistent coordination under the hood. After standardizing on Azure Managed Redis, Blip saw: → <0.2 ms average latency across core apps → 73% improvement in P99 latency → ~1M ops/sec per app across 11 clusters → 350k+ requests/sec handled without manual intervention That's what mission-critical looks like. Check out the full case study: https://lnkd.in/gKFfBdfG

Redis is returning to Interrupt! Say hello to their team at the expo hall to learn about their fast memory layer for chatbots and AI agents as well as their ready-to-use tools for building AI apps.

Great AI apps aren't built alone. Whether that's deploying solutions for clients, co-selling, or plugging Redis directly into their own platforms, our goal is the same: get to market faster and perform better when it counts. Meet some of the members from the Redis Partner Network: Eden, Infosys, Persistent Systems, and Tech Mahindra. Learn more about the network: https://redis.io/partners/

The best ML teams aren't the ones with the best models. They're the ones who stopped rebuilding the same pipelines over and over. Redis Feature Form, a managed feature store for production ML, handles the full lifecycle, from definition and computation to versioning, lineage, governance, and real-time serving. Schedule a demo: https://lnkd.in/gdCR6JuE

Here’s the truth: Your AI is only as good as the context it runs on. With Redis, your chatbots and agents always have the right context—searched, gathered, and served in real time, on the platform teams already trust at scale. Build AI that actually knows things: https://lnkd.in/gPzeK6qn