Redis Iris context engine
Deploy and operate Redis Iris context engine services.
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Redis Iris context engine provides managed and self-managed services for building AI applications with persistent memory, semantic caching, and governed access to business data.
Use this section to deploy, configure, and operate Redis Iris services. Developer guides and API integration documentation remain under Develop with Redis.
Deployment options
Redis Iris services are available as managed services on Redis Cloud. Redis Agent Memory and Redis Context Retriever are also available for self-managed deployment.
Redis Cloud
Create and manage Redis Iris services through the Redis Cloud console without deploying the supporting infrastructure yourself.
Self-managed
Deploy supported Redis Iris services on Kubernetes when you need to operate them on your own infrastructure.