By the final session, you’ll see the complete context-aware app built throughout the series, bringing together Search, Agent Memory, Context Retriever, and Semantic Caching.

We’ll look at what changes when these capabilities run together on Redis instead of across a collection of separate tools. We’ll also explore practical examples, including customer support, fraud detection, and recommendation systems.

• See the finished context-aware app working end to end.
• Compare running one runtime with operating a fragmented stack of separate tools.
• Explore use cases including support agents, fraud checks, and recommendation systems.
• Identify the next step for your own agent context layer.