adding sourceUrl as deeplink for original of document source when using integrated vectorization

[cforce]

[X] Feature Request

Leverage storage/data lake blob metadata as input for search index columns (both existing and custom mappings). When a client uploads to a blob, use the metadata, including the source URL, as input for integrated vectorization. The source URL should be propagated to the search index for citation links, directing users to the original source instead of the blob storage, which may act only as a pull adapter.

Key elements:

• sourceURL: A deep link URI used for citation purposes.
• lastUpdateDate: The date of creation or last update (independent of blob creation), used for document retrieval, where the most recent documents carry a higher weight/order.

This approach allows blob metadata in each blob container to be mapped to index columns and reused in the UI for links and other citation contexts.

[cforce]

Related/dupe #2211

[pamelafox]

We have made a custom skillset that runs our own code instead, mirroring the local ingestion in Azure Functions. We will deprecate the previous integrated vectorization and recommend the new skillset approach, for maximal compatibility with the repo features, like sourceurl.

Please try it out and raise any issues you run into. Thanks!
https://github.com/Azure-Samples/azure-search-openai-demo/releases/tag/2025-11-12