DOCSP-48250

source/fundamentals/builders.txt

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

source/fundamentals/builders/vector-search.txt

@@ -7,7 +7,7 @@ Atlas Vector Search
 .. facet::
    :name: genre
    :values: reference
- 
+
 .. meta::
    :keywords: code example, semantic, nearest
 
@@ -41,7 +41,7 @@ Perform a Vector Search
 
 To use this feature, you must create a vector search index and index your
 vector embeddings. To learn about how to programmatically create a
-vector search index, see the :ref:`kotlin-search-indexes` section in the
+vector search index, see the :ref:`kotlin-search-indexes` section of the
 Indexes guide. To learn more about vector embeddings, see
 :atlas:`How to Index Vector Embeddings for Vector Search
 </atlas-search/field-types/knn-vector/>` in the Atlas documentation.