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

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Redis IrisRedis Iris
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
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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Solutions
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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Docs
Redis CloudThe nitty grittyWelcome to the communityJoin the largest open source community in cacheDev HubAll the tools to build
Training
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Vladyslav Vildanov

Blog Posts

Vladyslav Vildanov

Sr. Software Engineer

  • Stay up when a region goes down: Highly available Redis for Python apps
    Vladyslav Vildanov
    Tech
    Sep 23,2026