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