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@Redisinc
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Introducing Game Dev with Redis — a hands-on video series for developers building real-time game features with Redis and Unreal Engine 5. In episode one, you’ll set up a fast, testable leaderboard backend using Redis and Node.js. Coming soon (with weekly drops):.🎮 Connect your
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RT @ThePracticalDev: Here comes the Redis AI Challenge! Engage with the community, add a project to your portfolio and spring for one of tw….
dev.to
We are so delighted to partner with Redis for a new DEV challenge! Running through August 10, the...
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Ready to master Redis? 📚. Redis University offers tailored learning paths for all skill levels—whether you're using Redis Search to index, query, and run full-text searches, or exploring powerful data structures for your app. Jump in today and start building a solid.
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RT @rowantrollope: The AI and Agentic wave is here! We're growing at Redis and we're looking for the best people to join. For example: VP….
redis.io
Who we are We’re Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re...
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Using custom probabilistic data structures, @LiftoffMobile improved ad relevance and quality while efficiently managing data from billions of events and devices. Here’s how: . Which Redis data structure do you prefer for session storage?.
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LangCache is a fully-managed semantic cache that stores and reuses LLM responses for similar queries, saving you time and money. Instead of calling the LLM again for every request, LangCache checks if a similar response has already been cached and returns it instantly. Join the.
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RT @RaphaelDeLio: 🧵 1/ LLMs are stateless. They don’t remember past interactions. Every prompt is treated as an isolated request. To buil….
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RT @LangChainAI: Join @Redisinc and @LangChainAI on July 23 for a webinar to learn how LangGraph + Redis make it easy to build AI agents wi….
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AI’s impact isn’t just about its capabilities. It also comes from the people who bring AI to life. Our VP of AI Product Management, Manvinder Singh, recently shared practical advice on turning AI potential into real-world results alongside other tech leaders. Read the full
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We’re co-hosting a Founder Game Night next Thursday, July 24, in Brooklyn with @TavilyAI, Eden, and @JakeZegil at @FractalTechNYC. Come for an evening of board, card, and social games. Stay for the great conversations with other folks building in AI infrastructure. Bring your
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RT @thesysdev: Don’t miss this one 👇. @rabi_guha joins leaders from @OpenPipeAI , @Plaid & @Redisinc on the AGI Stage at @genaisummitsf….
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RT @TechNative: How tech leaders are delivering real impact with AI this AI Appreciation Day . @PingIdentity @Genesys @Dynatrace @LucidSoft….
technative.io
Once viewed as a futuristic concept, AI is now firmly embedded in daily life and at the heart of business strategy. While early adoption was often driven
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Retrieval Augmented Generation (RAG) is one of the most powerful architectural patterns in GenAI today—combining the strengths of LLMs with real-time, external context from your own data.
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If you're working with vector search, LLM pipelines, or unstructured data, you’re relying on embedding models. Redis Developer Advocate @RaphaelDeLio breaks down what an embedding model is and more:
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For leaderboard use cases, what’s your go-to Redis data structure?. When 100M+ fans stream live @IPL matches on @JioCinema, performance can’t falter. That’s why they use Redis to power real-time features like leaderboards, live view tracking, and interactive stickers, all with.
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