The Self-Correcting RAG: Improving Retrieval via User Feedback Loops

#ArtificialIntelligence #Boston #Chapter #MachineLearning #RAG #InformationRetrieval #Microsoft
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If you’ve ever wondered why your RAG pipeline still surfaces the wrong documents—even when everything seems set up correctly—you’re not alone. Traditional approaches can struggle with domain-specific language and evolving knowledge bases.

This session will introduce FLAIR (Feedback Learning for Adaptive Information Retrieval), a lightweight framework that continuously improves retrieval quality using expert feedback, without the need for expensive retraining.

What to expect:
- Real and synthesized signals to better understand user intent
- Dynamic ranking that promotes relevant results in real time
- Continuous improvement as your knowledge base evolves

đź“… July 14, 2026 | 6–8 PM 
📍 Microsoft NERD Center, Cambridge, MA 

This is a great opportunity for anyone building or maintaining RAG systems to explore a more adaptive, feedback-driven approach. 
#AI #RAG #MachineLearning #InformationRetrieval #GenerativeAI #Microsoft #TechTalks 

REGISTER HERE: https://lnkd.in/efvnDuZw 



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  • 1 Memorial Drive
  • Cambridge, Massachusetts
  • United States
  • Building: NERD
  • Room Number: M Floor

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