Closing the Loop: Feedback based Learning for Agentic RAG on Azure @MicrosoftDeveloper
Closing the Loop: Feedback based Learning for Agentic RAG on Azure  @MicrosoftDeveloper
Uploaded August 2026 | Updated September 2026, 2 weeks ago
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:
learn.microsoft.com/agent-framework
techcommunity.microsoft.com/blog/azure-ai-foundry-blog/improving-rag-performance-with-azure-ai-search-and-azure-ai-prompt-flow-in-azure/4117118
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Closing the Loop: Feedback based Learning for Agentic RAG on Azure

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