DOCSP-37207 increase number of dimensions to 4096 (#6579)

Author: kanchana-mongodb

source/reference/operator/aggregation/vectorSearch.txt

@@ -6,7 +6,7 @@ $vectorSearch (aggregation)
 
 ``$vectorSearch`` performs a semantic search on data in your Atlas
 cluster. If you store vector embeddings that are less than or equal to
-2048 dimensions in width for any kind of data along with other data in
+4096 dimensions in width for any kind of data along with other data in
 your collection on the Atlas cluster, you can seamlessly index the
 vector data along with your other data. You can then use the
 :pipeline:`$vectorSearch` stage to pre-filter your data and perform