document vector indexes #19595
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document vector indexes #19595
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dikshant
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May 9, 2025
dikshant
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May 9, 2025
src/current/_includes/v25.2/known-limitations/vector-limitations.md
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andy-kimball
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May 9, 2025
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@dikshant @andy-kimball TFTRs! I've incorporated your comments. |
DrewKimball
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May 9, 2025
src/current/_includes/v25.2/known-limitations/vector-limitations.md
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florence-crl
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May 10, 2025
| - {% include {{ page.version.version }}/sql/vector-batch-inserts.md %} | ||
| - Creating a vector index through a backfill disables mutations ([`INSERT`]({% link {{ page.version.version }}/insert.md %}), [`UPSERT`]({% link {{ page.version.version }}/upsert.md %}), [`UPDATE`]({% link {{ page.version.version }}/update.md %}), [`DELETE`]({% link {{ page.version.version }}/delete.md %})) on the table. [#144443](https://github.com/cockroachdb/cockroach/issues/144443) | ||
| - `IMPORT INTO` is not supported on tables with vector indexes. You can import the vectors first and create the index after import is complete. [#145227](https://github.com/cockroachdb/cockroach/issues/145227) | ||
| - Only L2 distance (`<->`) searches are accelerated. [#144016](https://github.com/cockroachdb/cockroach/issues/144016) |
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What do you mean by "accelerated"? Should "accelerated" be "supported"?
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Accelerated means that the index makes these types of searches faster. This is the correct term because VECTOR supports more operators than L2, but this is the only one that a vector index currently benefits.
Co-authored-by: Florence Morris <[email protected]>
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