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

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Platform

Platform

Redis IrisReal-time context for agents Redis LangCacheSave on tokens for common questions Redis Context RetrieverLeverage context from anywhere Redis Agent MemoryAgentic memory for consistent experiences Redis Data IntegrationCDC across your structured data Redis FlexMore data, more speed, less cost CachingSub-ms read/write at scale StreamingEvent-driven messaging & data pipelines Session managementFast, persistent storage for sessions SearchSearch & query for structured data Feature storeReal-time ML feature pipeline for apps & agents

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Deploy

Redis CloudFully managed, fully flexible Redis SoftwareOn-prem Redis open source frameworkRedis 8.8 PricingLet’s talk numbers Redis on AWSBuy with cloud commits Azure Managed RedisMicrosoft-supported Redis Redis on Google CloudRedis from the marketplace

Tools

Redis InsightUI to visualize, query, & debug RIOTGet data into Redis from anywhere Client librariesPython, Node, Java, Go, .Net, & more SDKsConnect Redis to your apps

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AI & ML Apps

Scale agent & agentic systems Everything you need to be successful RAGUnderstand how Redis powers RAG Semantic searchRight answers, right now MLLeverage your features, fast Token optimizationAll the AI without all the cost AI cost optimizationControl AI costs without compromise

Core Workloads

Fraud detectionStop fraud, protect customers Real-time decisionsAct on data in real time Caching & performanceOur bread & butter Real-time messagingStreams at the speed of thought Session managementConsistent experiences everywhere LeaderboardsKnow who’s winning

Industries

Financial services E-commerce & retail Gaming Healthcare Telco

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Resource Center

Events & webinars Blog Videos Glossary Resources Architecture Diagrams Demo Center

Resource Center

Events & webinars Blog Videos Glossary Resources Architecture Diagrams Demo Center

About

Two founders redefining what’s possible with AI take the stage at Redis Released 2024. Daniel Svonava, CEO of Superlinked, shows how Redis provides fast, efficient vector indexing for real-world data challenges. Jacky Koh, CEO of Relevance AI, shares how Redis fuels AI agents that automate business workflows. Together, they unpack the future of AI, smarter scaling, and how startups build faster with Redis.

Read the case study here

28 minutes

Key topics

How Superlinked uses Redis for fast, efficient vector indexing to solve real-world data problems
How Relevance AI automates business workflows with Redis-powered AI agents
The future of AI in the workplace and how startups scale through smart planning and collaboration

Speakers

Spencer Tuttle

Spencer Tuttle

CRO

Jacky Koh

Jacky Koh

Founder

Daniel Svonava

Daniel Svonava

CEO

Redis Released 2024

AI tech talk series: Context retrieving at scale

AI tech talk series: Semantic caching

AI tech talk series: Agent Memory

34 minutes

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