86.5% accuracy. ~$0.007 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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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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Blog

Engineering

How we built the Redis Docs MCP for agents
Vishal Bala
Engineering
Oct 09,2026
Vector databases: what you need to know before production
Image
Engineering
Jan 29,2026
Faster Redis: Client library support for client-side caching
Mirko Ortensi
Announcements
Oct 28,2024
Hash field expiration – Architecture and Benchmarks
Redis
Benchmarks
Sep 10,2024
Benchmarking results for vector databases
Adriano Amaral
Filipe Oliveira
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+1
Benchmarks
Jun 20,2024
Announcing faster Redis Query Engine, and our vector database leads benchmarks
Filipe Oliveira
Adriano Amaral
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Announcements
Jun 20,2024
Using Redis for real-time RAG goes beyond a Vector Database
Redis
Engineering
Jun 13,2024

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