Closing the Loop: Feedback based Learning for Agentic RAG on Azure

Microsoft Developer presents an overview of “feedback-based learning” techniques for improving agentic RAG systems running on Azure.

Overview

The video focuses on agentic RAG on Azure and the idea of “closing the loop”: using feedback signals to iteratively improve retrieval and generation quality. It frames how feedback can be captured and applied to refine an agentic RAG system over time in an Azure-based architecture.