[DOC-13488]: Feedback on Create a Vector Search Index with the Server Web Console | Couchbase Docs

modules/vector-search/pages/create-vector-search-index-ui.adoc

@@ -3,7 +3,7 @@
 :page-ui-name: {ui-name}
 :page-product-name: {product-name}
 :page-toclevels: 2
-:description: You can create a Search Vector Index with the Couchbase {page-ui-name}. 
+:description: Use a sample dataset to create a vector search index with the Couchbase {page-ui-name}.
 
 [abstract]
 {description}
@@ -45,7 +45,7 @@ To create a Search Vector Index with the Couchbase {page-ui-name}:
 +
 [NOTE]
 ====
-Your index name must start with an alphabetic character (a-z or A-Z). It can only contain alphanumeric characters (a-z, A-Z, or 0-9), hyphens (-), or underscores (_).
+Your index name must start with an alphabetic character (a-z or A-Z). It can only contain alphanumeric characters (a-z, A-Z, or 0–9), hyphens (-), or underscores (_).
 
 For Couchbase Server version 7.6 and later, your index name must be unique inside your selected bucket and scope.
 You cannot have 2 indexes with the same name inside the same bucket and scope.
@@ -58,13 +58,20 @@ You cannot have 2 indexes with the same name inside the same bucket and scope.
 . Expand *Mappings* and create a new type mapping on a collection:
 .. Click btn:[Add Type Mapping].
 .. In the *Collection* list, select the collection that contains the documents you want to include in your index. 
-.. Select *Only index specified fields*. 
+.. Select the *only index specified fields* checkbox.
+.. Unset the *#default* field
 .. Click btn:[OK].
 
 +
 For more information about how to create type mappings, see xref:search:create-type-mapping.adoc[].
-. Create a child field mapping on the new collection type mapping: 
-.. In the *Field* field, enter the name of the field in your documents that contains your vector embeddings.
+. Next to the *#default* type mapping, clear the checkbox.
+. Create a child field mapping on the new collection type mapping:
+
+.. Point to the collection you just created and go to menu:{plus}[insert child field].
++
+image::insert-child-field.png[,50%]
+
+.. Enter the name of the field in your documents that contains your vector embeddings.
 +
 Vectors must be represented as an array of floating point numbers. 
 .. In the *Type* list, do one of the following:
@@ -82,6 +89,8 @@ For more information, see xref:search:child-field-options-reference.adoc[].
 For more information, see xref:search:child-field-options-reference.adoc[].
 .. Select *Index*.
 .. Click btn:[OK].
+
++
 . (Optional) Create another child field on the new collection type mapping for any additional fields you want to return in your search results.
 +
 For example, you could add the text field that you used to generate your vector embeddings. 
@@ -115,7 +124,7 @@ If you choose to add additional child fields and enable *Include in search resul
 
 For more information about how to add additional child fields to your index, see xref:search:create-quick-index.adoc[] or xref:search:create-child-field.adoc[].
 
-For example, if you used the Vector Search sample data, you might want to add another child field for the *color* string field to your Search Vector Index, to return color names with your Search query.
+For example, if you used the Vector Search sample data, you might want to add another child field for the *color* string field to your Search Vector Index to return color names with your Search query.
 For more information about how to add additional child fields to your index, see xref:search:create-child-field.adoc[].
 
 You can customize your Search Vector Index like any other Search index to add additional data and improve search results. 

preview/DOC-13488-Feedback-on-Create-a-Vector-Search-Index-with-the-Server-Web-Console--Couchbase-Docs.yml

@@ -0,0 +1,7 @@
+sources:
+  docs-server:
+    branches: [release/8.0]
+  cb-swagger:
+    branches: [release/8.0]
+override:
+  startPage: server:introduction:intro.adoc