change query example

Author: shuangela

source/atlas-search.txt

@@ -20,8 +20,8 @@ Atlas Search
 Overview
 --------
 
-In this guide, you can learn how to query an Atlas Search index and use advanced search 
-functionality in your {+driver-short+} applications. You can query a search index by 
+In this guide, you can learn how to query an Atlas Search index and use advanced full-text
+search functionality in your {+driver-short+} applications. You can query a search index by 
 using a ``$search`` aggregation pipeline stage.
 
 To learn more about the ``$search`` pipeline stage, see the :manual:`$search
@@ -48,7 +48,7 @@ Create an Atlas Search Index
 
 Before you can perform a search on an Atlas collection, you must first create an **Atlas
 Search index** on the collection. An Atlas Search index is a data structure that
-categorizes data in a searchable format. To learn how to create an Atlas Search Index,
+categorizes data in a searchable format. To learn how to create an Atlas Search index,
 see :ref:`pymongo-atlas-search-index`.
 
 Search Your Data
@@ -79,23 +79,41 @@ The query also includes the following stages:
       client = pymongo.MongoClient("<connection-string>")
       result = client["sample_mflix"]["movies"].aggregate([
                {
-                  "$search": {
-                  "index": "pymongoindex",
-                  "phrase": {
-                  "path": "title",
-                  "query": "new york"
-                 }
-                }
+                  "$search": { 
+                    "index": "pymongoindex",
+                    "compound": {
+                    "mustNot": [
+                        {
+                            "text": {
+                                "query": [
+                                    "Comedy"
+                                ],
+                                "path": "genres"
+                            }
+                        }
+                    ],
+                    "must": [
+                        {
+                            "text": {
+                                "query": [
+                                    "new york"
+                                ],
+                                "path": "title"
+                              }     
+                           }
+                        ],
+                     }
+                  }
                },
                { "$limit": 10 },
                {
                  "$project": {
                  "_id": 0,
                  "title": 1,
                  "score": { "$meta": "searchScore" }
-                 }
-                }
-              ])
+            }
+          }
+      ])
 
       for i in result:
          print(i)
@@ -104,21 +122,27 @@ The query also includes the following stages:
       :language: none
       :visible: false
 
-      { title: 'New York, New York', score: 6.786321640014648 }
-      { title: 'New York', score: 6.258549213409424 }
-      { title: 'New York Stories', score: 5.3813982009887695 }
-      { title: 'New York Minute', score: 5.3813982009887695 }
-      { title: 'Synecdoche, New York', score: 5.3813982009887695 }
-      { title: 'New York Doll', score: 5.3813982009887695 }
-      { title: 'Little New York', score: 5.3813982009887695 }
-      { title: 'Escape from New York', score: 4.719893455505371 }
-      { title: 'Naked in New York', score: 4.719893455505371 }
-      { title: 'Autumn in New York', score: 4.719893455505371 }
+      {'title': 'New York, New York', 'score': 6.786379814147949}
+      {'title': 'New York', 'score': 6.258603096008301}
+      {'title': 'New York Doll', 'score': 5.381444931030273}
+      {'title': 'Escape from New York', 'score': 4.719935417175293}
+      {'title': 'Autumn in New York', 'score': 4.719935417175293}
+      {'title': 'Sleepless in New York', 'score': 4.719935417175293}
+      {'title': 'Gangs of New York', 'score': 4.719935417175293}
+      {'title': 'Sherlock Holmes in New York', 'score': 4.203253746032715}
+      {'title': 'New York: A Documentary Film', 'score': 4.203253746032715}
+      {'title': 'An Englishman in New York', 'score': 4.203253746032715}
 
 Additional Information
 ----------------------
 
-To learn more about the available Atlas Search operators, see the :atlas:`Operators and Collectors </atlas-search/operators-and-collectors>` guide in the MongoDB Atlas documentation.
-
+To learn more about the available Atlas Search operators, see the :atlas:`Operators and
+Collectors </atlas-search/operators-and-collectors>` guide in the MongoDB Atlas
+documentation.
+ß
 For more information about Atlas Search, and to view more query examples, see the
-:atlas:`Atlas Search documentation </atlas-search>`. 
+:atlas:`Atlas Search documentation </atlas-search>`. 
+
+If you'd like to perform vector searches on your data stored in Atlas, you must use Atlas
+Vector Search. To learn more about Atlas Vector Search, see the :atlas:`Atlas Vector
+Search documentation </atlas-vector-search/vector-search-overview/>`.