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

From the creator

We have all heard about Human in loop and feedback based agent accuracy improvements. But in a RAG setting, what does it actually mean? How do Agents "comprehend" the feedback? And what does accuracy improvement mean behind the scenes? Let us decode how Agents incorporate human feedback to decide how they output better results the next time around. Resources: https://learn.microsoft.com/agent-framework/ https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/improving-rag-performance-with-azure-ai-search-and-azure-ai-prompt-flow-in-azure/4117118

Published 2026-08-24 · Watch on YouTube ↗
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