You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: articles/search/cognitive-search-concept-intro.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -104,7 +104,7 @@ Indexes are generated from an index schema that defines the fields, attributes,
104
104
| Cognitive skill | An atomic transformation in an enrichment pipeline. Often, it is a component that extracts or infers structure, and therefore augments your understanding of the input data. Almost always, the output is text-based and the processing is natural language processing or image processing that extracts or generates text from image inputs. Output from a skill can be mapped to a field in an index, or used as an input for a downstream enrichment. A skill is either predefined and provided by Microsoft, or custom: created and deployed by you. |[Built-in cognitive skills](cognitive-search-predefined-skills.md)|
105
105
| Data extraction | Covers a broad range of processing, but pertaining to AI enrichment, the entity recognition skill is most typically used to extract data (an entity) from a source that doesn't provide that information natively. | See [Entity Recognition Skill](cognitive-search-skill-entity-recognition.md) and [Document Extraction Skill (preview)](cognitive-search-skill-document-extraction.md)|
106
106
| Image processing | Infers text from an image, such as the ability to recognize a landmark, or extracts text from an image. Common examples include OCR for lifting characters from a scanned document (JPEG) file, or recognizing a street name in a photograph containing a street sign. | See [Image Analysis Skill](cognitive-search-skill-image-analysis.md) or [OCR Skill](cognitive-search-skill-ocr.md)
107
-
| Natural language processing | Text processing for insights and information about text inputs. Language detection, sentiment analysis, and key phrase extraction are skills that fall under natural language processing. | See [Key Phrase Extraction Skill](cognitive-search-skill-keyphrases.md), [Language Detection Skill](cognitive-search-skill-language-detection.md), [Text Translation Skill (preview)](cognitive-search-skill-text-translation.md), [Sentiment Analysis Skill](cognitive-search-skill-sentiment.md)|
107
+
| Natural language processing | Text processing for insights and information about text inputs. Language detection, sentiment analysis, and key phrase extraction are skills that fall under natural language processing. | See [Key Phrase Extraction Skill](cognitive-search-skill-keyphrases.md), [Language Detection Skill](cognitive-search-skill-language-detection.md), [Text Translation Skill](cognitive-search-skill-text-translation.md), [Sentiment Analysis Skill](cognitive-search-skill-sentiment.md)|
108
108
| Document cracking | The process of extracting or creating text content from non-text sources during indexing. Optical character recognition (OCR) is an example, but generally it refers to core indexer functionality as the indexer extracts content from application files. The data source providing source file location, and the indexer definition providing field mappings, are both key factors in document cracking. | See [Indexers overview](search-indexer-overview.md)|
109
109
| Shaping | Consolidate text fragments into a larger structure, or conversely break down larger text chunks into a manageable size for further downstream processing. | See [Shaper Skill](cognitive-search-skill-shaper.md), [Text Merger Skill](cognitive-search-skill-textmerger.md), [Text Split Skill](cognitive-search-skill-textsplit.md)|
110
110
| Enriched documents | A transitory internal structure, generated during processing, with final output reflected in a search index. A skillset determines which enrichments are performed. Field mappings determine which data elements are added to the index. Optionally, you can create a knowledge store to persist and explore enriched documents using tools like Storage Explorer, Power BI, or any other tool that connects to Azure Blob storage. | See [Knowledge store (preview)](knowledge-store-concept-intro.md)|
Copy file name to clipboardExpand all lines: articles/search/search-api-preview.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -28,7 +28,7 @@ This article describes the `api-version=2019-05-06-Preview` version of Search se
28
28
29
29
+[Document Extraction (preview)](cognitive-search-skill-document-extraction.md) is a cognitive skill used during indexing that allows you to extract the contents of a file from within a skillset. Previously, document cracking only occurred prior to skillset execution. With the addition of this skill, you can also perform this operation within skillset execution.
30
30
31
-
+[Text Translation (preview)](cognitive-search-skill-text-translation.md) is a cognitive skill used during indexing that evaluates text and, for each record, returns the text translated to the specified target language.
31
+
+[Text Translation](cognitive-search-skill-text-translation.md) is a cognitive skill used during indexing that evaluates text and, for each record, returns the text translated to the specified target language.
32
32
33
33
+[Knowledge store](knowledge-store-concept-intro.md) is a new destination of an AI-based enrichment pipeline. The physical data structure exists in Azure Blob storage and Azure Table storage, and it is created and populated when you run an indexer that has an attached cognitive skillset. The definition of a knowledge store itself is specified within a skillset definition. Within the knowledge store definition, you control the physical structures of your data through *projection* elements that determine how data is shaped, whether data is stored in Table storage or Blob storage, and whether there are multiple views.
Copy file name to clipboardExpand all lines: articles/search/whats-new.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -47,7 +47,7 @@ Azure Search is now renamed to **Azure Cognitive Search** to reflect the expande
47
47
48
48
+[Document Extraction (preview)](cognitive-search-skill-document-extraction.md) is a cognitive skill used during indexing that allows you to extract the contents of a file from within a skillset. Previously, document cracking only occurred prior to skillset execution. With the addition of this skill, you can also perform this operation within skillset execution.
49
49
50
-
+[Text Translation (preview)](cognitive-search-skill-text-translation.md) is a cognitive skill used during indexing that evaluates text and, for each record, returns the text translated to the specified target language.
50
+
+[Text Translation](cognitive-search-skill-text-translation.md) is a cognitive skill used during indexing that evaluates text and, for each record, returns the text translated to the specified target language.
51
51
52
52
+[Power BI templates](https://github.com/Azure-Samples/cognitive-search-templates/blob/master/README.md) can jumpstart your visualizations and analysis of enriched content in a knowledge store in Power BI desktop. This template is designed for Azure table projections created through the [Import data wizard](knowledge-store-create-portal.md).
0 commit comments