Hallucination Detection in RAG Explained | RAG for ML #10

Your RAG system has a faithfulness score of 0.91. That means nine percent of answers contain claims the context never supported. In production that nine percent can destroy user trust. Hallucination detection catches those cases before they reach the user.

In this episode we cover:
Why faithfulness alone is not enough in production
Natural Language Inference for claim verification
Building a sentence level hallucination detector
Self-check prompting as a lightweight alternative
Threshold based answer rejection
A production ready hallucination guard

Next up: Semantic Caching

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