97% believe in it. 4% have built it. New research: State of context engineering.

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Platform
Platform
Redis IrisReal-time context for agents Redis LangCacheSave on tokens for common questionsRedis Context RetrieverLeverage context from anywhereRedis Agent MemoryAgentic memory for consistent experiencesRedis Data IntegrationCDC across your structured data Redis FlexMore data, more speed, less costCachingSub-ms read/write at scaleStreamingEvent-driven messaging & data pipelinesSession managementFast, persistent storage for sessions SearchSearch & query for structured dataFeature storeReal-time ML feature pipeline for apps & agents
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Deploy
Redis CloudFully managed, fully flexibleRedis SoftwareOn-premRedis open source frameworkRedis 8.8PricingLet’s talk numbersRedis on AWSBuy with cloud commitsAzure Managed RedisMicrosoft-supported RedisRedis on Google CloudRedis from the marketplace
Tools
Redis InsightUI to visualize, query, & debugRIOTGet data into Redis from anywhereClient librariesPython, Node, Java, Go, .Net, & moreSDKsConnect Redis to your apps
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AI & ML Apps
Scale agent & agentic systems Everything you need to be successful RAGUnderstand how Redis powers RAGSemantic searchRight answers, right nowMLLeverage your features, fastToken optimizationAll the AI without all the cost
Core Workloads
Fraud detectionStop fraud, protect customersReal-time decisionsAct on data in real timeCaching & performanceOur bread & butter Real-time messagingStreams at the speed of thoughtSession managementConsistent experiences everywhereLeaderboardsKnow who’s winning
Industries
Financial servicesE-commerce & retailGamingHealthcareTelco
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Webinar

Intro to Redis for AI

Apr 08, 202610:00 AM – 11:00 AM PDT

Fast AI apps, powered by the memory and context they need to perform.

Unlock what’s possible for your AI workflows with Redis in this live demo designed for AI engineers, ML professionals, and AI leaders.

See how Redis powers AI apps with features like agentic memory, vector database, semantic caching, and more. Learn from real-world use cases, and get answers to your biggest AI challenges.

You'll learn:

• Improve GenAI apps with Redis features like vector database and semantic caching.
• Simplify your tech stack by using Redis in more places for GenAI.
• Keep your AI apps fast and reliable with Redis’s scalable architecture.

Speakers

Chanh Tran

Redis

Chanh Tran

Technical Product Marketing Manager

WebinarIntro to Redis for AI
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