chore: format fix#4
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May 8, 2026
Pure vector search ranked short identifier queries poorly — the literal- match chunk got buried behind chunks that "look semantically similar" (searching `CvoFile` returned the defining `class CvoFile` at rank cocoindex-io#8). Pair vec0 KNN with an FTS5 keyword index, mirror it from vec0 after each indexing pass, and merge ranks via Reciprocal Rank Fusion so neither retriever's score scale dominates. FTS rows are inserted into the score map first so keyword matches win stable-sort tie-breaks against vec-only chunks at the same rank — the right call for identifier queries. On real codebases the defining chunk now consistently lands in the top 3 (was cocoindex-io#4-cocoindex-io#8 before). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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