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feat(eval): add retrieval quality runner for recall@k, MRR, and nDCG (#134) - #185
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codeforstartups merged 1 commit intoSep 12, 2026
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Visual Evaluation PreviewSample 2-panel chart generated with 
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Resolves #134
Part of Epic #122
Summary of Changes
LabeledQuery,RetrievalMetricResult, andRetrievalEvalSummaryfor standard ground-truth benchmark datasets and evaluation results.compute_recall_at_k,compute_mrr,compute_ndcg_at_k(binary & graded relevance), andcompute_precision_at_k.RetrievalEvalRunnersupporting liveDynavecsearch clients or custom callables, with dataset loading from JSON arrays, JSONL, and Python dicts/objects.plot_retrieval_metrics()indynavec.eval.chartrendering 2-panel metric curves and aggregate summary bar charts.eval_recall,eval_mrr,eval_ndcg) intoTelemetryEvent,aggregate(),aggregate_eval(), and/api/eval/*endpoints with TypeScript definitions.tests/test_retrieval_eval.py(22 unit tests, 100% pass rate).