wip

Author: rustagir

source/fundamentals/builders/vector-search.txt

@@ -50,8 +50,8 @@ After you create a vector search index on your vector embeddings, you
 can reference this index in your pipeline stage, as shown in the
 following section.
 
-Vector Search Examples
-~~~~~~~~~~~~~~~~~~~~~~
+Vector Search Example
+~~~~~~~~~~~~~~~~~~~~~
 
 The following example shows how to build an aggregation pipeline that uses the
 ``vectorSearch()`` and ``project()`` methods to compute a vector search score:
@@ -62,6 +62,13 @@ The following example shows how to build an aggregation pipeline that uses the
    :language: java
    :dedent:
 
+.. tip:: Query Vector Type
+
+   The preceding example creates an instance of ``BinaryVector`` to
+   serve as the query vector, but you can also create a ``List`` of
+   ``Double`` instances. However, we recommend that you use the
+   ``BinaryVector`` type to improve storage efficiency.
+
 The following example shows how you can run the aggregation and print
 the vector search meta-score from the result of the preceding
 aggregation pipeline:

source/includes/fundamentals/code-snippets/builders/AggBuilders.java

@@ -328,7 +328,8 @@ private void vectorSearchPipeline() {
         int limit = 1;
 
         // Create a pre-filter to only search within a subset of documents
-        VectorSearchOptions options = exactVectorSearchOptions().filter(gte("year", 2016));
+        VectorSearchOptions options = exactVectorSearchOptions()
+            .filter(gte("year", 2016));
 
         // Create the vectorSearch pipeline stage
         List<Bson> pipeline = asList(