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
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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Rado Ralev

Blog Posts

Rado Ralev

AI Research Engineer

  • Introducing langcache-embed-v3-small
    Rado Ralev
    Tech
    Jan 30,2026
  • Learning agents with Redis: Feedback-driven context engineering for robust stochastic grounding
    Srijith Rajamohan
    Iliya Zhechev
    Rado Ralev
    +2
    Tech
    Oct 31,2025