Add field mapping section to image vector getstart

Author: HeidiSteen

articles/search/search-get-started-portal-image-search.md

@@ -7,7 +7,7 @@ author: HeidiSteen
 ms.author: heidist
 ms.service: azure-ai-search
 ms.topic: quickstart
-ms.date: 08/05/2024
+ms.date: 10/18/2024
 ms.custom:
   - references_regions
 ---
@@ -112,6 +112,31 @@ The inclusion of plain text in the `chunk` field is useful if you want to use re
 
 1. Select **Next**.
 
+## Map new fields
+
+On the **Advanced settings** page, you can optionally add new fields. By default, the wizard generates the following fields with these attributes:
+
+| Field | Applies to | Description |
+|-------|------------|-------------|
+| chunk_id | Text and image vectors | Generated string field. Searchable, retrievable, sortable. This is the document key for the index. |
+| parent_id | Text vectors | Generated string field. Retrievable, filterable. Identifies the parent document from which the chunk originates. |
+| text_parent_id | Image vectors | Generated string field. Retrievable, filterable. Identifies the parent document from which the chunk originates. |
+| image_parent_id | Image vectors | Generated string field. Retrievable, filterable. Identifies the parent document from which the image originates. |
+| chunk | Text and image vectors | String field. Human readable version of the data chunk. Searchable and retrievable, but not filterable, facetable, or sortable. |
+| title | Text and image vectors | String field. Human readable document title or page title or page number. Searchable and retrievable, but not filterable, facetable, or sortable. |
+| text_vector | Text vectors | Collection(Edm.single). Vector representation of the chunk.  Searchable and retrievable, but not filterable, facetable, or sortable.|
+| image_vector | Image vectors | Collection(Edm.single). Vector representation of the image.  Searchable and retrievable, but not filterable, facetable, or sortable.|
+
+You can't modify the generated fields or their attributes, but you can add new fields if your data source provides them. For example, Azure blob storage provides a collection of metadata fields.
+
+1. Select **Add new**.
+
+1. Choose a source field from the list of available fields, provide a field name for the index, and accept the default data type or override as needed.
+
+   Metadata fields are searchable, but not retrievable, filterable, facetable, or sortable. 
+
+1. Select **Reset** if you want to restore the schema to its original version.
+
 ## Schedule indexing
 
 1. On the **Advanced settings** page, under **Schedule indexing**, specify a [run schedule](search-howto-schedule-indexers.md) for the indexer. We recommend **Once** for this exercise. For data sources where the underlying data is volatile, you can schedule indexing to pick up the changes.

articles/search/search-get-started-portal-import-vectors.md

@@ -361,15 +361,18 @@ On the **Advanced settings** page, you can optionally add [semantic ranking](sem
 
 On the **Advanced settings** page, you can optionally add new fields. By default, the wizard generates the following fields with these attributes:
 
-| Field | Description |
-|-------|-------------|
-| chunk_id | String field. Searchable but not retrievable, filterable, facetable, or sortable. This is the document key for the index. |
-| parent_id | String field. Searchable but not retrievable, filterable, facetable, or sortable. Identifies the parent document from which the chunk originates. |
-| chunk | String field. Human readable version of the data chunk. Searchable and retrievable, but not filterable, facetable, or sortable. |
-| title | String field. Human readable document title or page title or page number. |
-| text_vector | Collection(Edm.single). Vector representation of the chunk.  Searchable and retrievable, but not filterable, facetable, or sortable.|
-
-You can't modify the generated fields or their attributes, but you can add new fields if your data source provides them. For example, Azure blob storage provides metadata fields.
+| Field | Applies to | Description |
+|-------|------------|-------------|
+| chunk_id | Text and image vectors | Generated string field. Searchable, retrievable, sortable. This is the document key for the index. |
+| parent_id | Text vectors | Generated string field. Retrievable, filterable. Identifies the parent document from which the chunk originates. |
+| text_parent_id | Image vectors | Generated string field. Retrievable, filterable. Identifies the parent document from which the chunk originates. |
+| image_parent_id | Image vectors | Generated string field. Retrievable, filterable. Identifies the parent document from which the image originates. |
+| chunk | Text and image vectors | String field. Human readable version of the data chunk. Searchable and retrievable, but not filterable, facetable, or sortable. |
+| title | Text and image vectors | String field. Human readable document title or page title or page number. Searchable and retrievable, but not filterable, facetable, or sortable. |
+| text_vector | Text vectors | Collection(Edm.single). Vector representation of the chunk.  Searchable and retrievable, but not filterable, facetable, or sortable.|
+| image_vector | Image vectors | Collection(Edm.single). Vector representation of the image.  Searchable and retrievable, but not filterable, facetable, or sortable.|
+
+You can't modify the generated fields or their attributes, but you can add new fields if your data source provides them. For example, Azure blob storage provides a collection of metadata fields.
 
 1. Select **Add new**.