DOCSP-45930 Atlas Search Query Prep (#705)

* DOCSP-45930 Atlas Search Query Prep

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* separate aggregation step

* SO feedback

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* *

* BB edits

* nit

source/documents/modify-multiple.txt

@@ -30,7 +30,7 @@ About this Task
 
 - Previews of the documents affected by bulk update operations are 
   only visible if your database is configured to support transactions.
-  For details, see :ref:`transactions`. 
+  For details, see :manual:`</core/transactions>`. 
 
 .. BEGIN-COMPASS-ONLY
 

source/export-query-to-language.txt

@@ -63,7 +63,11 @@ Procedure
       :figwidth: 600px
       :alt: Copy button clicked in Export Query to Language modal
 
+.. BEGIN-COMPASS-ONLY
+
 Learn More 
 ----------
 
 - :ref:`compass-export-agg-builder-results`
+
+.. END-COMPASS-ONLY

source/indexes.txt

@@ -81,8 +81,6 @@ Create an Index
 
 .. include:: /includes/shared/steps/create-index.rst
 
-.. BEGIN-COMPASS-ONLY
-
 Create an Atlas Search Index
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
@@ -97,8 +95,6 @@ Atlas Vector Search indexes enable you to index vector data *and* other data
 types, which facilitates semantic searches on the indexed fields. For more
 information, see :ref:`compass-create-vector-search`. 
 
-.. END-COMPASS-ONLY
-
 .. _compass-wildcard-index:
 
 Create a Wildcard Index

source/query/atlas-search.txt

@@ -12,11 +12,25 @@ Run Atlas Search Queries
    :depth: 1
    :class: singlecol
 
-You can run Atlas Search :pipeline:`$search` and :pipeline:`$searchMeta`
-queries from |compass| if you :ref:`created the Atlas Search index
-<compass-create-search-index>` for data on the Atlas cluster. You can
-also run :pipeline:`$vectorSearch` queries from |compass| if you have an
-existing Atlas Vector search index on your data in Atlas. 
+Atlas Search queries are run as an :ref:`aggregation pipeline stage 
+<compass-agg-builder>`. If you have an existing Atlas Search Index for data on 
+your Atlas cluster, you can run :pipeline:`$search` and :pipeline:`$searchMeta` 
+queries. If you have an  existing Atlas Vector search index on your data in 
+Atlas, you can also run :pipeline:`$vectorSearch` queries. 
+
+Before You Begin 
+----------------
+
+Create an :ref:`Atlas Search index <compass-create-search-index>` or an 
+:ref:`Atlas Vector Search index <compass-create-vector-search>`.
+
+.. note:: 
+
+   Atlas Search index management in the |compass-short| UI is available only 
+   for: 
+
+   - Atlas local deployments.
+   - Deployments running MongoDB 7.0 or later. 
 
 Steps
 -----
@@ -25,32 +39,28 @@ Steps
    :style: normal
 
    .. step:: Find the index you want to use in your query
-
-      a. From the :guilabel:`Indexes` tab, click :guilabel:`Search Indexes`.
-      #. Hover over the index you want to use in your query.
 
-   .. step:: Run the query
+      From the :guilabel:`Indexes` tab, click :guilabel:`Search Indexes`. 
+      Hover over the search index you want to use in your query. 
 
-      a. Click the :guilabel:`Aggregate` button.
-
-         |compass| switches to the :guilabel:`Aggregations` tab where you 
-         can run your query. 
-
-      #. Construct your query.
+   .. step:: Open the aggregation pipeline builder
+
+      Click the :guilabel:`Aggregate` button that appears when you hover over 
+      your search index.
 
-         By default, |compass| selects the :pipeline:`$search` stage for
-         your query. You can select the  :pipeline:`$searchMeta` stage
-         to use in your query. If you are using a ``vectorSearch`` type
-         index in your query, you can only use the
-         :pipeline:`$vectorSearch` stage in your query.  
+   .. step:: Construct your query
+
+      By default, |compass| selects the :pipeline:`$search` stage for your 
+      query. You can also select the  :pipeline:`$searchMeta` stage to use in 
+      your query. If you are using a ``vectorSearch`` type index in your query, 
+      you can use the :pipeline:`$vectorSearch` stage. 
 
-         .. note:: 
+      .. note:: 
 
-            The Atlas Search :pipeline:`$search` and :pipeline:`$searchMeta` and 
-            the Atlas Vector Search :pipeline:`$vectorSearch` pipeline stages must 
-            be the first stage in your aggregation pipeline.
+         If you use the ``$search``, ``$searchMeta``, or ``$vectorSearch`` 
+         stage, it must be the first stage in your aggregation pipeline.
 
-      #. Click :guilabel:`Run` to run your query.
+   .. step:: Run your query
 
 Learn More 
 ----------

source/schema.txt

@@ -109,8 +109,8 @@ For fields that contain multiple data types,
 |compass-short| displays a percentage breakdown of
 the various data types across documents. In the example below,
 the chart shows the contents of a field called ``phone_no`` in which
-81% of documents are of type ``string``, and the remaining 19% are of
-type ``number``.
+20% of documents are of type ``int32``, and the remaining 80% are of
+type ``string``.
 
 .. figure:: /images/compass/field-percentage-breakdown.png
    :figwidth: 330px
@@ -239,7 +239,7 @@ field shows the values that are strings:
    :figwidth: 574px
    :alt: Example of a field with mixed types
 
-Clicking on the ``number`` type causes the chart to show its numeric
+Clicking on the ``int32`` type causes the chart to show its numeric
 data:
 
 .. figure:: /images/compass/mixed-sample2.png