Join Vishal Bala, Sr. Principal Applied AI Engineer, and Kamran Yousaf, Principal Solutions Engineer at Redis, for a live, candid session for European engineering leaders building AI agents and apps. We’ll answer all your questions relating to AI, context, memory, and more.
Multi-step AI agents are only as capable as the context they can access. Join us to learn how to give your agents a real-time context engine that persists across sessions, syncs across steps, and gets smarter over time.
Real-time context engine: RAG, memory & agentic infra
This session shows you how to power RAG, long-term memory, and agent workflows from a single, real-time context engine on Redis, using reference architectures and practical patterns you can apply to your own stack.
A 1% improvement in fraud detection saves hundreds of millions a year. Watch our session to learn how to stream live transaction data into your fraud agents at runtime, retain cross-session fraud signals, see what production-grade fraud infrastructure actually looks like, and more.
Learn how to replace fragmented search stacks with a unified approach that combines semantic, keyword, and filtered search in one scalable system, reducing architectural complexity while improving performance and relevance.
