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RAG – Beyond simple prompt engineering, how did you implement confidence-based response generation to ensure the model refuses to answer rather than providing a plausible but ungrounded response ?
RAG – Beyond simple prompt engineering, how did you implement confidence-based response generation to ensure the model refuses to answer rather than providing a plausible but ungrounded response ?
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RAG – How do you handle “stale” information in the vector store when a document is updated in a source like SharePoint but the old embeddings still exist?
RAG – How do you handle “stale” information in the vector store when a document is updated in a source like SharePoint but the old embeddings still exist? Answer What Are The Metrics Used To Build Confidence Based Response Model ?
