edits

Author: HeidiSteen

articles/search/chat-completion-skill-example-usage.md

@@ -22,20 +22,20 @@ The GenAI Prompt skill (preview) generates a description of each image in your d
 
 To work with image content in a skillset, you need:
 
-+ A supported data source
-+ Files or blobs containing images
-+ Read access on the supported data source. This article uses key-based authentication, but indexers can also connect using the search service identity and Microsoft Entra ID authentication. For role-based access control, assign roles on the data source to allow read access by the service identity. If you're testing on a local development machine, make sure you also have read access on the supported data source.
-+ A search indexer, configured for image actions
-+ A skillset with the new custom genAI prompt skill
-+ A search index with fields to receive the verbalized text output, plus output field mappings in the indexer that establish association
++ A [supported data source](search-indexer-overview.md#supported-data-sources). We recommend Azure Storage.
++ Files or blobs containing images.
++ Read access to the supported data source. This article uses key-based authentication, but indexers can also connect using the search service identity and Microsoft Entra ID authentication. For role-based access control, assign roles on the data source to allow read access by the service identity. If you're testing on a local development machine, make sure you also have read access on the supported data source.
++ A [search indexer](search-how-to-create-indexers.md), configured for image actions.
++ A skillset with the new custom genAI prompt skill.
++ A search index with fields to receive the verbalized text output, plus output field mappings in the indexer that establish association.
 
 Optionally, you can define projections to accept image-analyzed output into a [knowledge store](knowledge-store-concept-intro.md) for data mining scenarios.
 
 <a name="get-normalized-images"></a>
 
 ## Configure indexers for image processing
 
-After the source files are set up, enable image normalization by setting the `imageAction` parameter in indexer configuration. Image normalization helps make images more uniform for downstream processing. Image normalization includes the following operations:
+After the source files are set up, enable image normalization by setting the `imageAction` parameter in the indexer configuration. Image normalization helps make images more uniform for downstream processing. Image normalization includes the following operations:
 
 + Large images are resized to a maximum height and width to make them uniform.
 + For images that have metadata that specifies orientation, image rotation is adjusted for vertical loading.

articles/search/cognitive-search-concept-image-scenarios.md

@@ -16,6 +16,7 @@ ms.custom:
 
 Images often contain useful information that's relevant in search scenarios. You can [vectorize images](search-get-started-portal-image-search.md) to represent visual content in your search index. Or, you can use [AI enrichment and skillsets](cognitive-search-concept-intro.md) to create and extract searchable *text* from images, including:
 
+ + [GenAI Prompt](cognitive-search-skill-genai-prompt.md) to pass a prompt to a chat completion skill, requesting a description of image content.
 + [OCR](cognitive-search-skill-ocr.md) for optical character recognition of text and digits
 + [Image Analysis](cognitive-search-skill-image-analysis.md) that describes images through visual features
 + [Custom skills](#passing-images-to-custom-skills) to invoke any external image processing that you want to provide