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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.
The text was updated successfully, but these errors were encountered:
cforce
changed the title
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Using intregrated vectorization with blob metadata support
Oct 4, 2024
cforce
changed the title
Using intregrated vectorization with blob metadata support
adding sourceUri as deepnl linl from original source for integrated vectorization
Oct 5, 2024
cforce
changed the title
adding sourceUri as deepnl linl from original source for integrated vectorization
adding sourceUrl as deeplink for original of document source when using integrated vectorization
Oct 5, 2024
[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:
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.
The text was updated successfully, but these errors were encountered: