Redis

✅ Hot cocoa bar (with sprinkles) ✅ Holiday cookies ✅ Great company ✅ AI hackathon and demos We've got you covered tonight in San Francisco. It doesn't get more festive than this. 🤖🎄 Sign up below 👇

🎄Redis is co-sponsoring a Cocoa & Coding Holiday Hack Night tomorrow evening with Composio, Manus AI & Build Club in SF! You'll have a chance to learn how people are using Redis in their AI workflows, and Composio will show what they’ve been working on too. There’s an optional hack if you want to tinker, but it’s equally fine to just hang out, meet people, and talk shop over cocoa. 🕢 7:00 PM - 10:00 PM 📍Composio office in SF 🔗 https://luma.com/tx7jqjtc If you’re around and want to connect and build with other devs, join us!

AI agents shouldn't slow down just because you added more capabilities. But as MCP tool catalogs grew, that's exactly what many teams see. Dozens of tools → tens of thousands of tokens burned before the user even asks a question. The fix? Stop making the model reason over everything. Start retrieving only what matters. With Tool Filtering on Redis, agents: - Evaluate 3–5 relevant tools instead of 50+ - Cut latency from seconds to milliseconds - Reduce token usage by ~98% - Double tool selection accuracy The best part? If Redis is already in your stack, there's no new infrastructure required with built-in vector/hybrid search. If you're scaling AI agents in production, this shift from reasoning → retrieval is a game changer. Learn how it works from Yusuf B. (and why it matters): https://lnkd.in/g7rMjY27

“Die Hard" is a Christmas movie. We know for sure because LangCache, our fully managed semantic caching service, told us it was true. We even put it on the Nasdaq tower. Check it out yourself. And also check out LangCache for free today: https://lnkd.in/gD2mzvMb

Redis is helping power the next wave of intelligent, collaborative applications on Azure. In this new session with Catherine Wang, Matthew Soucoup, and Microsoft, we explore how Redis enhances agentic applications through: - Semantic cache for faster, more efficient LLM calls - Vector store for high-quality, relevant retrieval - Chat history to keep interactions grounded and contextual - Sessions to orchestrate complex, multi-agent workflows We also highlight the latest .NET Aspire innovations with Redis and the Microsoft Agent Framework, along with practical patterns you can use today to build smarter, more performant cloud-native apps. Watch the video to see how Redis + Azure + .NET Aspire make agentic applications intelligent, scalable, and production-ready: https://lnkd.in/gfJnRmqm

Using Azure Managed Redis with Azure Cosmos DB is a powerful way to cut RU costs and tame p99 latency for read-heavy workloads on Azure.  “Azure Managed Redis & Azure Cosmos DB with Cache-Aside: A Practical Guide” breaks down how to: ⤷ Apply the cache-aside pattern so apps read from Redis first and fall back to Cosmos DB on a miss ⤷ Use Cosmos DB ETags in cache keys and the Change Feed to drive precise, low-friction cache invalidation ⤷ Align TTLs, eviction policies, and failure behavior with your SRE and business requirements ⤷ Combine sub-millisecond Redis reads with Cosmos DB’s global distribution and consistency for predictable performance at scale We also include a code sample wiring up Cosmos DB Change Feed → Azure Functions → Azure Managed Redis to keep hot keys fresh automatically. Read the full blog: https://lnkd.in/gye5wmHG Cc: Jan Kalis, Andrew Liu, James Codella, Ph.D., Philip Laussermair

RedisVL is evolving from a convenience layer into a cross-language framework for building real-time, context-aware AI systems. Momentum is surging: nearly 500k downloads in October and rapid adoption of the LangGraph Checkpointer are making Redis the go-to context engine for AI agents. And with RedisVL 0.11.0, developers get major new capabilities: - Multi-vector queries for richer multimodal search - Enhanced text relevance + index customization - SVS-Vamana: a new high-performance, memory-efficient vector index - Native LangCache integration for faster, cheaper LLM apps RedisVL is becoming the AI-native toolkit teams rely on. Read more: https://lnkd.in/g7ZqQfvt

ICYMI: We’re excited to join Fierce Software’s ecosystem of leading technology partners. We’ll work together to power innovations in the federal sector and work smarter with real-time data. By combining our high-performance real-time data and AI platform with Fierce Software’s deep public sector expertise, we’re empowering teams to deliver faster insights, stronger systems, and better mission outcomes. Read more about our partnership: https://lnkd.in/gdujee83