Uses of Package
com.azure.search.documents.indexes.models
Packages that use com.azure.search.documents.indexes.models
Package
Description
Package containing classes for creating
SearchClient or
SearchAsyncClient used to perform document management, autocomplete, search, or
suggestion operations using an Azure Cognitive Search service index.Package containing classes for creating
SearchIndexClient,
SearchIndexAsyncClient,
SearchIndexerClient, or
SearchIndexerAsyncClient used to perform resource management operations
on an Azure Cognitive Search service.Package containing classes for SearchServiceClient.
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Classes in com.azure.search.documents.indexes.models used by com.azure.search.documentsClassDescriptionContains a batch of document write actions to send to the index.
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Classes in com.azure.search.documents.indexes.models used by com.azure.search.documents.indexesClassDescriptionInformation about a token returned by an analyzer.Specifies some text and analysis components used to break that text into tokens.This model represents a property bag containing all options for creating or updating a
data source connection.This model represents a property bag containing all options for creating or updating anindexer.This model represents a property bag containing all options for creating or updating askillset.Base type for data change detection policies.Base type for data deletion detection policies.Additional parameters to buildSearchField.Represents an index alias, which describes a mapping from the alias name to an index.Represents a field in an index definition, which describes the name, data type, and search behavior of a field.Represents a search index definition, which describes the fields and search behavior of an index.Represents an indexer.Represents a datasource definition, which can be used to configure an indexer.A list of skills.Represents the current status and execution history of an indexer.Statistics for a given index.Response from a get service statistics request.Represents a synonym map definition. -
Classes in com.azure.search.documents.indexes.models used by com.azure.search.documents.indexes.modelsClassDescriptionSpecifies some text and analysis components used to break that text into tokens.Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if such equivalents exist.The AML skill allows you to extend AI enrichment with a custom Azure Machine Learning (AML) model.Defines values for BlobIndexerDataToExtract.Defines values for BlobIndexerImageAction.Defines values for BlobIndexerParsingMode.Defines values for BlobIndexerPdfTextRotationAlgorithm.Ranking function based on the Okapi BM25 similarity algorithm.Base type for character filters.Defines values for CharFilterName.Forms bigrams of CJK terms that are generated from the standard tokenizer.Defines values for CjkBigramTokenFilterScripts.Grammar-based tokenizer that is suitable for processing most European-language documents.Base type for describing any cognitive service resource attached to a skillset.A cognitive service resource provisioned with a key that is attached to a skillset.Construct bigrams for frequently occurring terms while indexing.A skill that enables scenarios that require a Boolean operation to determine the data to assign to an output.Defines options to control Cross-Origin Resource Sharing (CORS) for an index.This model represents a property bag containing all options for creating or updating a
data source connection.This model represents a property bag containing all options for creating or updating anindexer.This model represents a property bag containing all options for creating or updating askillset.Allows you to take control over the process of converting text into indexable/searchable tokens.An object that contains information about the matches that were found, and related metadata.A complex object that can be used to specify alternative spellings or synonyms to the root entity name.A skill looks for text from a custom, user-defined list of words and phrases.Defines values for CustomEntityLookupSkillLanguage.Allows you to configure normalization for filterable, sortable, and facetable fields, which by default operate with strict matching.Base type for data change detection policies.Base type for data deletion detection policies.An empty object that represents the default cognitive service resource for a skillset.Decomposes compound words found in many Germanic languages.Defines a function that boosts scores based on distance from a geographic location.Provides parameter values to a distance scoring function.A skill that extracts content from a file within the enrichment pipeline.Generates n-grams of the given size(s) starting from the front or the back of an input token.Defines values for EdgeNGramTokenFilterSide.Tokenizes the input from an edge into n-grams of the given size(s).Removes elisions.Defines values for EntityCategory.Using the Text Analytics API, extracts linked entities from text.Text analytics entity recognition.Defines values for EntityRecognitionSkillLanguage.Represents the version ofEntityRecognitionSkill.Additional parameters to buildSearchField.Defines a mapping between a field in a data source and a target field in an index.Represents a function that transforms a value from a data source before indexing.Defines a function that boosts scores based on the value of a date-time field.Provides parameter values to a freshness scoring function.A skill that analyzes image files.Defines values for ImageAnalysisSkillLanguage.Defines values for ImageDetail.Contains a batch of document write actions to send to the index.Represents all of the state that defines and dictates the indexer's current execution.Defines values for IndexerExecutionEnvironment.Represents the result of an individual indexer execution.Defines values for IndexerExecutionStatus.Defines values for IndexerExecutionStatusDetail.Defines values for IndexerStatus.Defines values for IndexingMode.Represents parameters for indexer execution.A dictionary of indexer-specific configuration properties.Represents a schedule for indexer execution.Input field mapping for a skill.A token filter that only keeps tokens with text contained in a specified list of words.A skill that uses text analytics for key phrase extraction.Defines values for KeyPhraseExtractionSkillLanguage.Marks terms as keywords.Emits the entire input as a single token.A skill that detects the language of input text and reports a single language code for every document submitted on the request.Removes words that are too long or too short.Base type for analyzers.Defines values for LexicalAnalyzerName.Base type for normalizers.Defines values for LexicalNormalizerName.Base type for tokenizers.Defines values for LexicalTokenizerName.Limits the number of tokens while indexing.Defines values for LineEnding.Standard Apache Lucene analyzer; Composed of the standard tokenizer, lowercase filter and stop filter.Breaks text following the Unicode Text Segmentation rules.Defines a function that boosts scores based on the magnitude of a numeric field.Provides parameter values to a magnitude scoring function.A skill for merging two or more strings into a single unified string, with an optional user-defined delimiter separating each component part.Divides text using language-specific rules and reduces words to their base forms.Divides text using language-specific rules.Defines values for MicrosoftStemmingTokenizerLanguage.Defines values for MicrosoftTokenizerLanguage.Generates n-grams of the given size(s).Tokenizes the input into n-grams of the given size(s).A skill that extracts text from image files.Defines values for OcrSkillLanguage.Output field mapping for a skill.Tokenizer for path-like hierarchies.Flexibly separates text into terms via a regular expression pattern.Uses Java regexes to emit multiple tokens - one for each capture group in one or more patterns.Tokenizer that uses regex pattern matching to construct distinct tokens.Defines values for PhoneticEncoder.Create tokens for phonetic matches.Using the Text Analytics API, extracts personal information from an input text and gives you the option of masking it.Defines values for PiiDetectionSkillMaskingMode.Describes the title, content, and keywords fields to be used for semantic ranking, captions, highlights, and answers.Defines values for RegexFlags.Represents a resource's usage and quota.Base type for functions that can modify document scores during ranking.Defines values for ScoringFunctionAggregation.Defines values for ScoringFunctionInterpolation.Defines parameters for a search index that influence scoring in search queries.Represents an index alias, which describes a mapping from the alias name to an index.Represents a field in an index definition, which describes the name, data type, and search behavior of a field.Defines values for SearchFieldDataType.Represents a search index definition, which describes the fields and search behavior of an index.Represents an indexer.The SearchIndexerCache model.Represents information about the entity (such as Azure SQL table or CosmosDB collection) that will be indexed.Abstract base type for data identities.Represents a datasource definition, which can be used to configure an indexer.Defines values for SearchIndexerDataSourceType.Represents an item- or document-level indexing error.Definition of additional projections to azure blob, table, or files, of enriched data.Abstract class to share properties between concrete selectors.Projection definition for what data to store in Azure Files.Projection definition for what data to store in Azure Blob.Container object for various projection selectors.Abstract class to share properties between concrete selectors.Description for what data to store in Azure Tables.The SearchIndexerLimits model.Base type for skills.A list of skills.Represents an item-level warning.A customer-managed encryption key in Azure Key Vault.Represents service-level resource counters and quotas.Represents various service level limits.Defines how the Suggest API should apply to a group of fields in the index.Defines a specific configuration to be used in the context of semantic capabilities.A field that is used as part of the semantic configuration.Defines parameters for a search index that influence semantic capabilities.Text analytics positive-negative sentiment analysis, scored as a floating point value in a range of zero to 1.Defines values for SentimentSkillLanguage.Represents the version ofSentimentSkill.A skill for reshaping the outputs.Creates combinations of tokens as a single token.Base type for similarity algorithms.Defines values for SnowballTokenFilterLanguage.Defines a data deletion detection policy that implements a soft-deletion strategy.A skill to split a string into chunks of text.Defines values for SplitSkillLanguage.Defines values for StemmerTokenFilterLanguage.Divides text at non-letters; Applies the lowercase and stopword token filters.Defines values for StopwordsList.Removes stop words from a token stream.Represents a synonym map definition.Matches single or multi-word synonyms in a token stream.Defines a function that boosts scores of documents with string values matching a given list of tags.Provides parameter values to a tag scoring function.Defines values for TextSplitMode.A skill to translate text from one language to another.Defines values for TextTranslationSkillLanguage.Defines weights on index fields for which matches should boost scoring in search queries.Defines values for TokenCharacterKind.Base type for token filters.Defines values for TokenFilterName.Truncates the terms to a specific length.Tokenizes urls and emails as one token.Filters out tokens with same text as the previous token.Defines values for VisualFeature.A skill that can call a Web API endpoint, allowing you to extend a skillset by having it call your custom code.Splits words into subwords and performs optional transformations on subword groups.