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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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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
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AnnouncementsBenchmarksCompanyDBaasEngineeringFeaturesGuest BlogsHow To and TutorialsLaunchpadNew Product AnnouncementsNewsPartnersPodcastProduct ReleasesRedis ModulesRedis Open SourceRedis-CloudTechTech DETech Redis ModulesUncategorizedWhite Papers
Building AI agent pipelines that don't forget, fail, or fall apart
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