Added links to blob storage docs

Author: HeidiSteen

articles/search/search-blob-ai-integration.md

@@ -108,6 +108,8 @@ An enriched document at the end of the pipeline differs from its original input
 
 There’s a lot more you can do with AI enrichment to get the most out of your data in Azure Storage, including combining Cognitive Services in different ways, and authoring custom skills for cases where there’s no existing Cognitive Service for the scenario. You can learn more by following the links below.
 
-+ [AI enrichment overview](cognitive-search-concept-intro.md) 
-+ [Create a skillset](cognitive-search-defining-skillset.md)
-+ [Map nodes in an annotation tree](cognitive-search-output-field-mapping.md)
++ [Upload, download, and list blobs with the Azure portal (Azure Blob storage)](https://docs.microsoft.com/azure/storage/blobs/storage-quickstart-blobs-portal)
++ [Set up a blob indexer (Azure Search)](search-howto-indexing-azure-blob-storage.md) 
++ [AI enrichment overview (Azure Search)](cognitive-search-concept-intro.md) 
++ [Create a skillset (Azure Search)](cognitive-search-defining-skillset.md)
++ [Map nodes in an annotation tree (Azure Search)](cognitive-search-output-field-mapping.md)

articles/search/search-blob-storage-integration.md

@@ -66,5 +66,5 @@ A more permanent solution is to gather query inputs and present the response as
 
 ## Next steps
 
-> [!div class="nextstepaction"]
-> [Set up a blob indexer](search-howto-indexing-azure-blob-storage.md) 
++ [Upload, download, and list blobs with the Azure portal (Azure Blob storage)](https://docs.microsoft.com/azure/storage/blobs/storage-quickstart-blobs-portal)
++ [Set up a blob indexer (Azure Search)](search-howto-indexing-azure-blob-storage.md)