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metrics.rag.end_to_end.recommended.small_llm.all

MetricsList(
    items=[
        "metrics.rag.end_to_end.answer_correctness.bert_score_recall_ml",
        "metrics.rag.end_to_end.faithfulness.vectara_hhem_2_1",
        "metrics.rag.end_to_end.answer_relevance.answer_reward",
        "metrics.rag.end_to_end.context_relevance.sentence_bert_mini_lm",
        "metrics.rag.end_to_end.context_correctness.mrr",
    ],
)

References: metrics.rag.end_to_end.answer_correctness.bert_score_recall_ml, metrics.rag.end_to_end.context_relevance.sentence_bert_mini_lm, metrics.rag.end_to_end.answer_relevance.answer_reward, metrics.rag.end_to_end.faithfulness.vectara_hhem_2_1, metrics.rag.end_to_end.context_correctness.mrr

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