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modules/vector-index/pages/vectors-and-indexes-overview.adoc

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@@ -310,8 +310,8 @@ Indexes using the SQ indexing algorithm can return inaccurate results if the ran
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If one or more dimensional values fall outside the range that SQ assign buckets to, they get assigned closest bucket.
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These inaccuracies can build over time, skewing results,.
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To resolve these accuracy issues, can retrain your indexes when you notice poor results.
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You can retrain indexes periodically, or after you have made significant changes to your dataset.
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To resolve these accuracy issues, you can retrain your indexes when you notice poor results.
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You can also choose to retrain indexes periodically or after you have made significant changes to your dataset.
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You should consider the need to retrain your indexes when choosing which index algorithm to use.
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For example, the PQ algorithm requires more resources to train than the SQ algorithm.

modules/vector-index/partials/nav.adoc

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* xref:7.7@server:vector-index:use-vector-indexes.adoc[]
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* xref:server:vector-index:use-vector-indexes.adoc[]
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** xref:7.7@server:vector-index:vectors-and-indexes-overview.adoc[]
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** xref:7.7@server:vector-index:vector-index.adoc[]
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** xref:7.7@server:vector-index:gsi-with-vector.adoc[]
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** xref:server:vector-index:vectors-and-indexes-overview.adoc[]
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** xref:server:vector-index:vector-index.adoc[]
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** xref:server:vector-index:gsi-with-vector.adoc[]
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