Explains the annotation syntax and how to reference inputs and outputs of a skillset in an ai enrichment pipeline in azure ai search. It's a full description of the expression language used to construct paths to nodes in an enriched. For many documents, this works out of the box.
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This article is the reference documentation for skill context and input syntax.
Documentextractionskill (extracts text and images from the document) ocrskill (extracts text from images) mergeskill (merges.
Skills are organized into categories: Merge text from a collection of fields into one consolidated field. The conditional skill in azure ai search enables filtering, creating defaults, and merging values in a skillset definition. Skills can execute independently and in parallel, or sequentially in a dependent relationship if you feed the output of one skill into another skill.
Merge text from a collection of fields into one consolidated field. A common scenario for using text merge is to merge the textual representation of images (text from an ocr skill, or the caption of an image) into the content field of a document. Use this cognitive skill in an azure search enrichment pipeline. I am creating an indexer that takes a document, runs the keyphraseextractionskill and outputs it back to the index.
This skill is not bound to a cognitive services api and you.
Skills that depend on each other specify the output of one skill (such as key phrases) as the input of a second skill (such as text translation). Use this cognitive skill in an ai enrichment pipeline in azure ai search.
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