diff --git a/source/includes/indexes/indexes.py b/source/includes/indexes/indexes.py
index 11731636..7b547017 100644
--- a/source/includes/indexes/indexes.py
+++ b/source/includes/indexes/indexes.py
@@ -88,26 +88,56 @@
 collection.create_search_index(index)
 # end-create-search-index
 
+# start-create-vector-search-index
+
+from pymongo.operations import SearchIndexModel
+
+search_index_model = SearchIndexModel(
+  definition={
+    "fields": [
+      {
+        "type": "vector",
+        "numDimensions": <number of dimensions>,
+        "path": "<field to index>",
+        "similarity":  "<select from euclidean, cosine, dotProduct>"
+      }
+    ]
+  },
+  name="<index name>",
+  type="vectorSearch",
+)
+
+collection.create_search_index(model=search_index_model)
+
+# end-create-vector-search-index
+
 # start-create-search-indexes
-index_one = {
-    "definition": {
-        "mappings": {
-            "dynamic": True
-        }
-    },
-    "name": "my_index",
-}
 
-index_two = {
-    "definition": {
+search_idx = SearchIndexModel(
+    definition ={
         "mappings": {
             "dynamic": True
         }
     },
-    "name": "my_other_index",
-}
+    name="my_index",
+)
+
+vector_idx = SearchIndexModel(
+  definition={
+    "fields": [
+      {
+        "type": "vector",
+        "numDimensions": <number of dimensions>,
+        "path": "<field to index>",
+        "similarity": "<select from euclidean, cosine, dotProduct>"
+      }
+    ]
+  },
+  name="my_vector_index",
+  type="vectorSearch",
+)
 
-indexes = [index_one, index_two]
+indexes = [search_idx, vector_idx]
 
 collection.create_search_indexes(models=indexes)
 # end-create-search-indexes
@@ -120,18 +150,30 @@
 # end-list-search-indexes
 
 # start-update-search-indexes
-new_index = {
-    "definition": {
-        "mappings": {
-            "dynamic": True
-        }
-    },
-    "name": "my_new_index",
+new_index_definition = {
+    "mappings": {
+        "dynamic": False
+    }
 }
 
 collection.update_search_index("my_index", new_index)
 # end-update-search-indexes
 
+# start-update-vector-search-indexes
+new_index_definition = {
+    "fields": [
+        {
+            "type": "vector",
+            "numDimensions": 1536,
+            "path": "<field to index>",
+            "similarity": "euclidean"
+        },
+    ]
+}
+
+collection.update_search_index("my_vector_index", new_index_definition)
+# end-update-vector-search-indexes
+
 # start-delete-search-indexes
 collection.drop_index("my_index")
 # end-delete-search-indexes
\ No newline at end of file
diff --git a/source/indexes/atlas-search-index.txt b/source/indexes/atlas-search-index.txt
index 147aef68..d0ad5091 100644
--- a/source/indexes/atlas-search-index.txt
+++ b/source/indexes/atlas-search-index.txt
@@ -1,8 +1,8 @@
 .. _pymongo-atlas-search-index:
 
-====================
-Atlas Search Indexes
-====================
+======================================
+Atlas Search and Vector Search Indexes
+======================================
 
 .. contents:: On this page
    :local:
@@ -20,16 +20,23 @@ Atlas Search Indexes
 Overview
 --------
 
-The Atlas Search feature enables you to perform full-text searches on
-collections hosted on MongoDB Atlas. The indexes specify the behavior of
+You can manage your :atlas:`Atlas Search </atlas-search>` and 
+:atlas:`Atlas Vector Search </atlas-vector-search/vector-search-overview/>`
+indexes by using {+driver-short+}. The indexes specify the behavior of
 the search and which fields to index.
 
-To learn more about MongoDB Atlas Search, see the
-:atlas:`Atlas Search Indexes </atlas-search/atlas-search-overview/>`
-documentation.
+Atlas Search enables you to perform full-text searches on
+collections hosted on MongoDB Atlas. Atlas Search indexes specify the behavior of
+the search and which fields to index.
+
+Atlas Vector Search enables you to perform semantic searches on vector
+embeddings stored in MongoDB Atlas. Vector Search indexes define the
+indexes for the vector embeddings that you want to query and the boolean,
+date, objectId, numeric, string, or UUID values that you want to use to
+pre-filter your data.
 
 You can call the following methods on a collection to manage your Atlas Search
-indexes:
+and Vector Search indexes:
 
 - ``create_search_index()``
 - ``create_search_indexes()``
@@ -55,16 +62,31 @@ Create a Search Index
 You can use the `create_search_index() <{+api-root+}pymongo/collection.html#pymongo.collection.Collection.create_search_index>`__
 and the
 `create_search_indexes() <{+api-root+}pymongo/collection.html#pymongo.collection.Collection.create_search_indexes>`__
-methods to create Atlas Search indexes.
+methods to create Atlas Search indexes or Atlas Vector Search indexes.
 
-The following code example shows how to create a single index:
+The following code example shows how to create a single Atlas Search index:
 
 .. literalinclude:: /includes/indexes/indexes.py
    :language: python
    :start-after: start-create-search-index
    :end-before: end-create-search-index
 
-The following code example shows how to create multiple indexes:
+The following code example shows how to create a single Atlas Vector Search index
+by using the `SearchIndexModel <{+api-root+}pymongo/operations.html#pymongo.operations.SearchIndexModel>`__
+object:
+
+.. literalinclude:: /includes/indexes/indexes.py
+   :language: python
+   :start-after: start-create-vector-search-index
+   :end-before: end-create-vector-search-index
+
+You can use the `create_search_indexes() <{+api-root+}pymongo/collection.html#pymongo.collection.Collection.create_search_indexes>`__
+method to create multiple indexes. These indexes can be Atlas Search or
+Vector Search indexes. The ``create_search_indexes()`` method takes a list of
+``SearchIndexModel`` objects that correspond to each index you want to create.
+
+The following code example shows how to create an Atlas Search index and an Atlas
+Vector Search index:
 
 .. literalinclude:: /includes/indexes/indexes.py
    :language: python
@@ -78,7 +100,8 @@ List Search Indexes
 
 You can use the
 `list_search_indexes() <{+api-root+}pymongo/collection.html#pymongo.collection.Collection.list_search_indexes>`__
-method to return the Atlas Search indexes of a collection.
+method to get information about the Atlas Search and Vector Search indexes 
+of a collection.
 
 The following code example shows how to print a list of the search indexes of
 a collection:
@@ -96,9 +119,9 @@ Update a Search Index
 
 You can use the
 `update_search_index() <{+api-root+}pymongo/collection.html#pymongo.collection.Collection.update_search_index>`__
-method to update an Atlas Search index.
+method to update an Atlas Search or Vector Search index.
 
-The following code shows how to update a search index:
+The following code example shows how to update an Atlas Search index:
 
 .. literalinclude:: /includes/indexes/indexes.py
    :language: python
@@ -106,6 +129,14 @@ The following code shows how to update a search index:
    :start-after: start-update-search-indexes
    :end-before: end-update-search-indexes
 
+The following code example shows how to update an Atlas Vector Search index:
+
+.. literalinclude:: /includes/indexes/indexes.py
+   :language: python
+   :dedent:
+   :start-after: start-update-vector-search-indexes
+   :end-before: end-update-vector-search-indexes
+
 .. _pymongo-atlas-search-index-drop:
 
 Delete a Search Index
@@ -113,7 +144,7 @@ Delete a Search Index
 
 You can use the
 `drop_search_index() <{+api-root+}pymongo/collection.html#pymongo.collection.Collection.drop_search_index>`__
-method to remove an Atlas Search index.
+method to remove an Atlas Search or Vector Search index.
 
 The following code shows how to delete a search index from a collection: