NX feedback

Author: norareidy

source/atlas-vector-search.txt

@@ -24,7 +24,7 @@ Overview
 In this guide, you can learn how to use the {+driver-short+} to perform
 :atlas:`Atlas Vector Search </atlas-vector-search/vector-search-overview/>`
 queries. The ``Aggregates`` builders class provides the
-the ``vectorSearch()`` helper method, which you can use to
+``vectorSearch()`` helper method, which you can use to
 create a :atlas:`$vectorSearch </atlas-vector-search/vector-search-stage/>`
 pipeline stage. 
 
@@ -118,9 +118,6 @@ guide, see the following API documentation:
 - `Aggregates.vectorSearch()
   <{+core-api+}/client/model/Aggregates.html#vectorSearch(com.mongodb.client.model.search.FieldSearchPath,java.lang.Iterable,java.lang.String,long,com.mongodb.client.model.search.VectorSearchOptions)>`__
 
-- `FieldSearchPath
-  <{+core-api+}/client/model/search/FieldSearchPath.html>`__
-
 - `VectorSearchOptions
   <{+core-api+}/client/model/search/VectorSearchOptions.html>`__
 

source/includes/vector-search.kt

@@ -33,7 +33,7 @@ fun main() {
     // Specifies the path of the field to search
     val fieldSearchPath: FieldSearchPath = fieldPath("plot_embedding")
 
-    // Creates the vector search pipeline stage with numCandidates and limit
+    // Creates the vector search pipeline stage with a limit and numCandidates
     val pipeline: List<Bson> = listOf(
         vectorSearch(
             fieldSearchPath,
@@ -63,7 +63,7 @@ fun main() {
             fieldSearchPath,
             queryVector,
             indexName,
-            5L, // limit parameter
+            5L,
             approximateVectorSearchOptions(150)
         ),
         project(
@@ -78,7 +78,6 @@ fun main() {
     val results = collection.aggregate(pipeline)
 
     results.forEach { doc ->
-        val score = doc.getDouble("vectorSearchScore")
         println("Title: ${doc.getString("title")}, Score: ${doc.getDouble("score")}")
     }
     // end-vs-score