AI enrichment is a capability of Azure Cognitive Search indexing used to extract text from images, blobs, and other unstructured data sources. Enrichment and extraction make your content more searchable in an index or knowledge store. Extraction and enrichment are implemented using cognitive skills attached to the indexing pipeline. Cognitive skills built into the service fall into these categories:
Natural language processing skills include entity recognition, language detection, key phrase extraction, text manipulation, sentiment detection, and PII detection. With these skills, unstructured text is mapped as searchable and filterable fields in an index.
Image processing skills include Optical Character Recognition (OCR) and identification of visual features, such as facial detection, image interpretation, image recognition (famous people and landmarks) or attributes like image orientation. These skills create text representations of image content, making it searchable using the query capabilities of Azure Cognitive Search.
https://docs.microsoft.com/en-us/azure/search/cognitive-search-concept-introТак что такие вот дела...