86.5% accuracy. ~$0.07 per session. See how Redis stacks up in the Agent Memory Benchmark.

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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
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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 costAI cost optimizationControl AI costs without compromise
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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Julien Ruaux

Blog Posts

Julien Ruaux

Principal Field Engineer at Redis

  • Building a RAG application with Redis and Spring AI
    Julien Ruaux
    Tech
    Apr 16,2024