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source/fundamentals/builders.txt

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@@ -111,22 +111,20 @@ builders in the {+driver-short+}:
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Available Builders
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------------------
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- :ref:`Aggregates <aggregates-builders>` for building aggregation
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pipelines.
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- :ref:`Aggregates <aggregates-builders>`: Build aggregation pipelines
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- :ref:`kotlin-atlas-vector-search` for using the
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``Aggregates.vectorSearch()`` method to use the Atlas Vector
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Search feature.
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- See the :ref:`kotlin-atlas-vector-search` to learn more about the
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``Aggregates.vectorSearch()`` method
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- :ref:`Filters <filters-builders>` for building query filters.
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- :ref:`Filters <filters-builders>`: Build query filters
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- :ref:`Indexes <indexes-builders>` for creating index keys.
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- :ref:`Indexes <indexes-builders>`: Build index keys
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- :ref:`Projections <projections-builders>` for building projections.
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- :ref:`Projections <projections-builders>`: Build projections
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- :ref:`Sorts <sorts-builders>` for building sort criteria.
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- :ref:`Sorts <sorts-builders>`: Build sort criteria
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- :ref:`Updates <updates-builders>` for building updates.
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- :ref:`Updates <updates-builders>`: Build update documents
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The :ref:`kotlin-builders-data-classes` guide provides examples on
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how to use the preceding builders classes directly with data class

source/fundamentals/builders/vector-search.txt

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.. facet::
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:name: genre
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:values: reference
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.. meta::
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:keywords: code example, semantic, nearest
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To use this feature, you must create a vector search index and index your
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vector embeddings. To learn about how to programmatically create a
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vector search index, see the :ref:`kotlin-search-indexes` section in the
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vector search index, see the :ref:`kotlin-search-indexes` section of the
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Indexes guide. To learn more about vector embeddings, see
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:atlas:`How to Index Vector Embeddings for Vector Search
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</atlas-search/field-types/knn-vector/>` in the Atlas documentation.

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