feat(bench): add multi-dimensional RAG evaluation metrics to ragcsv#882
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feat(bench): add multi-dimensional RAG evaluation metrics to ragcsv#882
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Align ragcsv with RAG-Workbench methodology by adding non-LLM string metrics (token F1, exact match, BLEU-1) and LLM-judge faithfulness & relevancy evaluators alongside the existing accuracy metric. Metrics are selectable via --metrics/RAGCSV_METRICS and LLM-judge calls run Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Signed-off-by: Nick Mitchell <nickm@us.ibm.com>
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Summary
--metricsflag /RAGCSV_METRICSenv var to selectively enable LLM-judge metrics (accuracy,faithfulness,relevancy,all)print_quantile_reporthelper and add a summary table to the outputTest plan
cargo check -p spnl-clicompiles cleanlyspnl bench ragcsv --helpshows the new--metricsflag--metrics accuracyand verify only accuracy LLM-judge runs--metrics alland verify all 3 LLM-judge metrics + string metrics report--metrics faithfulness,relevancyand verify accuracy is skipped🤖 Generated with Claude Code