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website/docs/features/search/multi-vector.md

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Multi-vector columns also support ColBERT-style late-interaction search, where the query itself is an array of strings. Each query is embedded independently, the best-matching element is selected for each query (`MaxSim`), and the per-row score is the sum across queries:
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$$
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\text{score}(d) = \sum_{q \in Q} \max_{e \in d} \cos(q, e)
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$$
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```text
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score(d) = Σ_{q Q} max_{e d} cos(q, e)
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```
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```sql
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SELECT product_id, name, score

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