Those images may have a scene that will be tagged and described, or text that will be extracted. The supported data types are Microsoft Office documents, PDFs, json, xml, and image formats like png, jpg, and more. It pushes the created metadata into a Search Index, that contains pointers to the original data on its physical location on Azure. We can turn Azure Search into Azure Cognitive Search, by adding an enrichment pipeline that creates meta data on images and text files. In this article you will learn how to combine these two separated worlds into one single search solution. Audio is a data type that matters for companies in all industries, containing customer and business information. In this context, Azure Search is the standard Microsoft Knowledge Mining service, that uses AI to create metadata about images, relational databases, and textual data, providing a web-like search experience. via awaiting a TaskCompletionSource signaled on completion) or a new Task thread ( Thread.Run(() => cleanup())) will avoid any potential concurrency issues with teardown and eventing.Knowledge Mining is a technique to extract insights from structured and unstructured data. If a more prompt disposal is needed than what IDisposable will provide via the using statements in effect, doing it on either the main thread (e.g. It can lead to some funniness if there are still pending callbacks awaiting dispatch once the callback that's calling Dispose finishes. Dispose on these SDK objects from within a callback (event) originating from the same objects. Just as one additional note: I wouldn't recommend invoking.
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