[NO ISSUE] Bringing over some good changes from PR #316 to Server

Author: sarahlwelton

modules/search/pages/search-request-params.adoc

@@ -274,6 +274,11 @@ NOTE: The vector in your Search query must match the dimension of the vectors st
 If the dimensions do not match, your Search query does not return any results.
 For more information about the dimension value, see the xref:search-index-params.adoc#dims[dims property] or the xref:child-field-options-reference.adoc#dimension[Dimension option] in the UI. 
 
+|[[filter]]filter |Object |No a|
+
+Add a filter object to xref:vector-search:pre-filtering-vector-search.adoc[add pre-filtering], based on an additional query, to a Vector Search query. 
+
+The `filter` object can take properties from any of the query types supported by the <<query-object,>>.
 |====
 
 [#knn-params]

modules/vector-search/examples/run-pre-filtered-vector-search-rest-api.sh

@@ -15,7 +15,7 @@ curl -XPOST -H "Content-Type: application/json" \
           "field": "colorvect_l2",
           "vector": [ 176, 0, 176 ],
           "filter": {
-            "field:  "color",
+            "field":  "color",
             "match": "navy"
           }
         }

modules/vector-search/pages/pre-filtering-vector-search.adoc

@@ -1,7 +1,7 @@
 = Pre-filtering Vector Searches
 :page-topic-type: guide
 :page-ui-name: {ui-name}
-:description: You can specify filters as part of a vector search statement which will restrict the documents searched during the query.
+:description: You can specify filters as part of a Vector Search query object to restrict the documents searched in a Search index.
 
 [abstract]
 {description}
@@ -42,26 +42,28 @@ For the best results, consider using the sample Vector Search index from xref:cr
 
 == Procedure
 
-To run a pre-filtered vector search with the REST API:
+To add pre-filtering to a Vector Search with the REST API:
 
 . In your command-line tool, enter a `curl` command with the `XPOST` verb.
 . Set your header content to include `"Content-Type: application/json"`.
 . Add your `username`, `password`, and the Search Service endpoint on port `8094`.
 . Add the `index name` you want to query to the endpoint.
-
++
 [source, console]
 ----
 curl -XPOST -H "Content-Type: application/json" \
   -u ${CB_USERNAME}:${CB_PASSWORD} http://${CB_HOSTNAME}:8094/api/bucket/vector-sample/scope/color/index/{INDEX_NAME}/query \
 -d \
 ----
+. Enter a search query that includes a `filter` object with your `knn` object.
++
+For more information about the `filter` object, see xref:search:search-request-params.adoc#filter[filter].
+
 
-=== Example
+=== Example: Pre-Filter A Vector Search Query For The Color "Navy"
 
-In the following example, you will extend a search query
-to find matches in `color-index`.
-  A pre-filter on the query will narrow the documents in the index searched to those with a `color` field value
-  that closely matches `navy`.
+For example, the following Vector Search query tries to find matches to a color with an RGB value of `[176, 0, 176]` with a minimum brightness of `70` and a maximum of `80`.
+A pre-filter on the query will narrow the documents searched inside the Vector Search index to documents that have a `color` field value that closely matches `navy`:
 
 [source, console]
 ----