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Hallucination evaluation is a critical component in the effective deployment of RAG-based systems. By categorizing responses into Low, Medium, and High hallucination levels, the system can provide users with valuable insights into the reliability of the generated content. This evaluation process not only enhances user confidence but also supports the responsible use of AI in contexts where accuracy is crucial.
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