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[NO ISSUE] Bringing over some good changes from PR #316 to Server
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modules/search/pages/search-request-params.adoc

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@@ -281,40 +281,6 @@ If you reduce your `ivf_max_codes_pct` value, the Search Service accesses fewer
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In the example, the Search Service searches only `0.2%` of the available centroids in your vector data.
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|====
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[#knn-params]
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=== Knn params Object
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Use the `params` object inside a `knn` object to fine tune the probes and centroids the Search Services uses and searches while running a Vector Search request.
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The `params` object can contain the following properties:
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[cols="1,1,1,4"]
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|====
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|Property |Type |Required? |Description
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|ivf_nprobe_pct |Number (percentage) |No a|
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Set the `ivf_nprobe_pct` value to control the percentage of probes, or the percentage of clusters, that the Search Service searches during a single Vector Search query.
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The Search Service automatically calculates a default `nprobe` percentage based on the vectors in a given partition of your Vector Search index.
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For more information about this calculation, see xref:vector-search:fine-tune-vector-search.adoc[].
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If you set the value of `ivf_nprobe_pct` higher than this default calculated value, the Search Service will search a higher percentage of clusters in your processed vectors.
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This can increase your accuracy and recall for Vector Search, but requires more compute time for each query.
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In the example, the Search Service searches only `1%` of the total available clusters.
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|ivf_max_codes_pct |Number (percentage out of 100) |No a|
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Set the `ivf_max_codes_pct` value to control the maximum number of centroids that the Search Service accesses during a single Vector Search query.
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By default, this value is always 100%.
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If you reduce your `ivf_max_codes_pct` value, the Search Service accesses fewer centroids, which reduces your Vector Search accuracy and recall, but gives faster compute times for your search.
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In the example, the Search Service searches only `0.2%` of the available centroids in your vector data.
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|====
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[#query-object]
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== Query Object
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