Add RRF fusion with English word-level lexical scoring, tiered keyword fetch, and vector margin expansion (0.15/200) to fix pre-rank truncation; wire DashScope embedding bench path and update baseline to 28.8% recall@20. Co-authored-by: Cursor <cursoragent@cursor.com>
Wire an offline benchmark over the production pgvector ranking path so Memory V2 recall can be measured with candidate/ranking loss split before lifecycle work lands. Co-authored-by: Cursor <cursoragent@cursor.com>
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