Evaluation metrics
- Faithfulness
- Is the answer entirely backed up by the retrieved context, or is the model making things up? (anti-hallucination check)
- Answer Relevance
- Did the model actually answer the question, or go off on a tangent?
- Context Relevance
- Did retrieval pull high-quality, relevant information, or is it full of noise? Penalizes irrelevant retrieved chunks.
Monthly token usage
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PRIME
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