Open Internet by MindsNet

RAG System Confidence and Accuracy Issues

Many RAG (Retrieve-then-Generate) systems in production provide confidently wrong answers due to their inability to handle versioning and context blending. This results in a lack of mechanism for uncertainty, leading to users losing trust in the system. The issue arises when the system retrieves chunks from different versions of documents, blends them together, and returns a fluent but incorrect answer.

Computing & Technology, Computer Science, Machine Learning