Azure.Search.Documents.Indexes.Models Namespace

Classes

AnalyzedTokenInfo	Information about a token returned by an analyzer.
AnalyzeTextOptions	Specifies some text and analysis components used to break that text into tokens.
AsciiFoldingTokenFilter	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. This token filter is implemented using Apache Lucene.
AzureOpenAIEmbeddingSkill	Allows you to generate a vector embedding for a given text input using the Azure OpenAI resource.
AzureOpenAIVectorizer	Specifies the Azure OpenAI resource used to vectorize a query string.
AzureOpenAIVectorizerParameters	Specifies the parameters for connecting to the Azure OpenAI resource.
BinaryQuantizationCompression	Contains configuration options specific to the binary quantization compression method used during indexing and querying.
BM25Similarity	Ranking function based on the Okapi BM25 similarity algorithm. BM25 is a TF-IDF-like algorithm that includes length normalization (controlled by the 'b' parameter) as well as term frequency saturation (controlled by the 'k1' parameter).
CharFilter	Base type for character filters. Please note CharFilter is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MappingCharFilter and PatternReplaceCharFilter.
CjkBigramTokenFilter	Forms bigrams of CJK terms that are generated from the standard tokenizer. This token filter is implemented using Apache Lucene.
ClassicSimilarity	Legacy similarity algorithm which uses the Lucene TFIDFSimilarity implementation of TF-IDF. This variation of TF-IDF introduces static document length normalization as well as coordinating factors that penalize documents that only partially match the searched queries.
ClassicTokenizer	Grammar-based tokenizer that is suitable for processing most European-language documents. This tokenizer is implemented using Apache Lucene.
CognitiveServicesAccount	Base type for describing any Azure AI service resource attached to a skillset. Please note CognitiveServicesAccount is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AIServicesAccountIdentity, AIServicesAccountKey, CognitiveServicesAccountKey and DefaultCognitiveServicesAccount.
CognitiveServicesAccountKey	The multi-region account key of an Azure AI service resource that's attached to a skillset.
CommonGramTokenFilter	Construct bigrams for frequently occurring terms while indexing. Single terms are still indexed too, with bigrams overlaid. This token filter is implemented using Apache Lucene.
ComplexField	A complex field or collection of complex fields that contain child fields. Child fields may be SimpleField or ComplexField.
ConditionalSkill	A skill that enables scenarios that require a Boolean operation to determine the data to assign to an output.
CorsOptions	Defines options to control Cross-Origin Resource Sharing (CORS) for an index.
CustomAnalyzer	Allows you to take control over the process of converting text into indexable/searchable tokens. It's a user-defined configuration consisting of a single predefined tokenizer and one or more filters. The tokenizer is responsible for breaking text into tokens, and the filters for modifying tokens emitted by the tokenizer.
CustomEntity	An object that contains information about the matches that were found, and related metadata.
CustomEntityAlias	A complex object that can be used to specify alternative spellings or synonyms to the root entity name.
CustomEntityLookupSkill	A skill looks for text from a custom, user-defined list of words and phrases.
DataChangeDetectionPolicy	Base type for data change detection policies. Please note DataChangeDetectionPolicy is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include HighWaterMarkChangeDetectionPolicy and SqlIntegratedChangeTrackingPolicy.
DataDeletionDetectionPolicy	Base type for data deletion detection policies. Please note DataDeletionDetectionPolicy is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include NativeBlobSoftDeleteDeletionDetectionPolicy and SoftDeleteColumnDeletionDetectionPolicy.
DefaultCognitiveServicesAccount	An empty object that represents the default Azure AI service resource for a skillset.
DictionaryDecompounderTokenFilter	Decomposes compound words found in many Germanic languages. This token filter is implemented using Apache Lucene.
DistanceScoringFunction	Defines a function that boosts scores based on distance from a geographic location.
DistanceScoringParameters	Provides parameter values to a distance scoring function.
DocumentExtractionSkill	A skill that extracts content from a file within the enrichment pipeline.
EdgeNGramTokenFilter	Generates n-grams of the given size(s) starting from the front or the back of an input token. This token filter is implemented using Apache Lucene.
EdgeNGramTokenizer	Tokenizes the input from an edge into n-grams of the given size(s). This tokenizer is implemented using Apache Lucene.
ElisionTokenFilter	Removes elisions. For example, "l'avion" (the plane) will be converted to "avion" (plane). This token filter is implemented using Apache Lucene.
EntityLinkingSkill	Using the Text Analytics API, extracts linked entities from text.
EntityRecognitionSkill	This skill is deprecated. Use the V3.EntityRecognitionSkill instead.
ExhaustiveKnnAlgorithmConfiguration	Contains configuration options specific to the exhaustive KNN algorithm used during querying, which will perform brute-force search across the entire vector index.
ExhaustiveKnnParameters	Contains the parameters specific to exhaustive KNN algorithm.
FieldMapping	Defines a mapping between a field in a data source and a target field in an index.
FieldMappingFunction	Represents a function that transforms a value from a data source before indexing.
FreshnessScoringFunction	Defines a function that boosts scores based on the value of a date-time field.
FreshnessScoringParameters	Provides parameter values to a freshness scoring function.
HighWaterMarkChangeDetectionPolicy	Defines a data change detection policy that captures changes based on the value of a high water mark column.
HnswAlgorithmConfiguration	Contains configuration options specific to the HNSW approximate nearest neighbors algorithm used during indexing and querying. The HNSW algorithm offers a tunable trade-off between search speed and accuracy.
HnswParameters	Contains the parameters specific to the HNSW algorithm.
ImageAnalysisSkill	A skill that analyzes image files. It extracts a rich set of visual features based on the image content.
IndexerExecutionResult	Represents the result of an individual indexer execution.
IndexingParameters	Represents parameters for indexer execution.
IndexingParametersConfiguration	A dictionary of indexer-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type.
IndexingSchedule	Represents a schedule for indexer execution.
InputFieldMappingEntry	Input field mapping for a skill.
KeepTokenFilter	A token filter that only keeps tokens with text contained in a specified list of words. This token filter is implemented using Apache Lucene.
KeyPhraseExtractionSkill	A skill that uses text analytics for key phrase extraction.
KeywordMarkerTokenFilter	Marks terms as keywords. This token filter is implemented using Apache Lucene.
KeywordTokenizer	Emits the entire input as a single token. This tokenizer is implemented using Apache Lucene.
KnowledgeStore	Definition of additional projections to azure blob, table, or files, of enriched data.
KnowledgeStoreFileProjectionSelector	Projection definition for what data to store in Azure Files.
KnowledgeStoreObjectProjectionSelector	Projection definition for what data to store in Azure Blob.
KnowledgeStoreProjection	Container object for various projection selectors.
KnowledgeStoreProjectionSelector	Abstract class to share properties between concrete selectors.
KnowledgeStoreStorageProjectionSelector	Abstract class to share properties between concrete selectors.
KnowledgeStoreTableProjectionSelector	Description for what data to store in Azure Tables.
LanguageDetectionSkill	A skill that detects the language of input text and reports a single language code for every document submitted on the request. The language code is paired with a score indicating the confidence of the analysis.
LengthTokenFilter	Removes words that are too long or too short. This token filter is implemented using Apache Lucene.
LexicalAnalyzer	Base type for analyzers. Please note LexicalAnalyzer is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CustomAnalyzer, PatternAnalyzer, LuceneStandardAnalyzer and StopAnalyzer.
LexicalAnalyzerName.Values	The values of all declared LexicalAnalyzerName properties as string constants. These can be used in SearchableFieldAttribute and anywhere else constants are required.
LexicalTokenizer	Base type for tokenizers. Please note LexicalTokenizer is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include ClassicTokenizer, EdgeNGramTokenizer, KeywordTokenizer, KeywordTokenizer, MicrosoftLanguageStemmingTokenizer, MicrosoftLanguageTokenizer, NGramTokenizer, PathHierarchyTokenizer, PatternTokenizer, LuceneStandardTokenizer, LuceneStandardTokenizer and UaxUrlEmailTokenizer.
LimitTokenFilter	Limits the number of tokens while indexing. This token filter is implemented using Apache Lucene.
LuceneStandardAnalyzer	Standard Apache Lucene analyzer; Composed of the standard tokenizer, lowercase filter and stop filter.
LuceneStandardTokenizer	Breaks text following the Unicode Text Segmentation rules. This tokenizer is implemented using Apache Lucene.
MagnitudeScoringFunction	Defines a function that boosts scores based on the magnitude of a numeric field.
MagnitudeScoringParameters	Provides parameter values to a magnitude scoring function.
MappingCharFilter	A character filter that applies mappings defined with the mappings option. Matching is greedy (longest pattern matching at a given point wins). Replacement is allowed to be the empty string. This character filter is implemented using Apache Lucene.
MergeSkill	A skill for merging two or more strings into a single unified string, with an optional user-defined delimiter separating each component part.
MicrosoftLanguageStemmingTokenizer	Divides text using language-specific rules and reduces words to their base forms.
MicrosoftLanguageTokenizer	Divides text using language-specific rules.
NGramTokenFilter	Generates n-grams of the given size(s). This token filter is implemented using Apache Lucene.
NGramTokenizer	Tokenizes the input into n-grams of the given size(s). This tokenizer is implemented using Apache Lucene.
OcrSkill	A skill that extracts text from image files.
OutputFieldMappingEntry	Output field mapping for a skill.
PathHierarchyTokenizer	Tokenizer for path-like hierarchies. This tokenizer is implemented using Apache Lucene.
PatternAnalyzer	Flexibly separates text into terms via a regular expression pattern. This analyzer is implemented using Apache Lucene.
PatternCaptureTokenFilter	Uses Java regexes to emit multiple tokens - one for each capture group in one or more patterns. This token filter is implemented using Apache Lucene.
PatternReplaceCharFilter	A character filter that replaces characters in the input string. It uses a regular expression to identify character sequences to preserve and a replacement pattern to identify characters to replace. For example, given the input text "aa bb aa bb", pattern "(aa)\s+(bb)", and replacement "$1#$2", the result would be "aa#bb aa#bb". This character filter is implemented using Apache Lucene.
PatternReplaceTokenFilter	A character filter that replaces characters in the input string. It uses a regular expression to identify character sequences to preserve and a replacement pattern to identify characters to replace. For example, given the input text "aa bb aa bb", pattern "(aa)\s+(bb)", and replacement "$1#$2", the result would be "aa#bb aa#bb". This token filter is implemented using Apache Lucene.
PatternTokenizer	Tokenizer that uses regex pattern matching to construct distinct tokens. This tokenizer is implemented using Apache Lucene.
PhoneticTokenFilter	Create tokens for phonetic matches. This token filter is implemented using Apache Lucene.
PiiDetectionSkill	Using the Text Analytics API, extracts personal information from an input text and gives you the option of masking it.
ScalarQuantizationCompression	Contains configuration options specific to the scalar quantization compression method used during indexing and querying.
ScalarQuantizationParameters	Contains the parameters specific to Scalar Quantization.
ScoringFunction	Base type for functions that can modify document scores during ranking. Please note ScoringFunction is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include DistanceScoringFunction, FreshnessScoringFunction, MagnitudeScoringFunction and TagScoringFunction.
ScoringProfile	Defines parameters for a search index that influence scoring in search queries.
SearchableField	A String or "Collection(String)" field that can be searched.
SearchField	Represents a field in an index definition, which describes the name, data type, and search behavior of a field.
SearchFieldTemplate	Base field type for helper classes to more easily create a SearchIndex.
SearchIndex	Represents a search index definition, which describes the fields and search behavior of an index.
SearchIndexer	Represents an indexer.
SearchIndexerDataContainer	Represents information about the entity (such as Azure SQL table or CosmosDB collection) that will be indexed.
SearchIndexerDataIdentity	Abstract base type for data identities. Please note SearchIndexerDataIdentity is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include SearchIndexerDataNoneIdentity and SearchIndexerDataUserAssignedIdentity.
SearchIndexerDataNoneIdentity	Clears the identity property of a datasource.
SearchIndexerDataSourceConnection	Represents a datasource definition, which can be used to configure an indexer.
SearchIndexerDataUserAssignedIdentity	Specifies the identity for a datasource to use.
SearchIndexerError	Represents an item- or document-level indexing error.
SearchIndexerIndexProjection	Definition of additional projections to secondary search indexes.
SearchIndexerIndexProjectionSelector	Description for what data to store in the designated search index.
SearchIndexerIndexProjectionsParameters	A dictionary of index projection-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type.
SearchIndexerLimits	The SearchIndexerLimits.
SearchIndexerSkill	Base type for skills. Please note SearchIndexerSkill is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AzureMachineLearningSkill, WebApiSkill, AzureOpenAIEmbeddingSkill, CustomEntityLookupSkill, EntityRecognitionSkill, KeyPhraseExtractionSkill, LanguageDetectionSkill, MergeSkill, PiiDetectionSkill, SentimentSkill, SplitSkill, TextTranslationSkill, EntityLinkingSkill, ConditionalSkill, DocumentExtractionSkill, DocumentIntelligenceLayoutSkill, ShaperSkill, ImageAnalysisSkill, OcrSkill and VisionVectorizeSkill.
SearchIndexerSkillset	A list of skills.
SearchIndexerStatus	Represents the current status and execution history of an indexer.
SearchIndexerWarning	Represents an item-level warning.
SearchIndexStatistics	Statistics for a given index. Statistics are collected periodically and are not guaranteed to always be up-to-date.
SearchResourceCounter	Represents a resource's usage and quota.
SearchResourceEncryptionKey	A customer-managed encryption key in Azure Key Vault. Keys that you create and manage can be used to encrypt or decrypt data-at-rest, such as indexes and synonym maps.
SearchServiceCounters	Represents service-level resource counters and quotas.
SearchServiceLimits	Represents various service level limits.
SearchServiceStatistics	Response from a get service statistics request. If successful, it includes service level counters and limits.
SearchSuggester	Defines how the Suggest API should apply to a group of fields in the index.
SemanticConfiguration	Defines a specific configuration to be used in the context of semantic capabilities.
SemanticField	A field that is used as part of the semantic configuration.
SemanticPrioritizedFields	Describes the title, content, and keywords fields to be used for semantic ranking, captions, highlights, and answers.
SemanticSearch	Defines parameters for a search index that influence semantic capabilities.
SentimentSkill	This skill is deprecated. Use the V3.SentimentSkill instead.
ShaperSkill	A skill for reshaping the outputs. It creates a complex type to support composite fields (also known as multipart fields).
ShingleTokenFilter	Creates combinations of tokens as a single token. This token filter is implemented using Apache Lucene.
SimilarityAlgorithm	Base type for similarity algorithms. Similarity algorithms are used to calculate scores that tie queries to documents. The higher the score, the more relevant the document is to that specific query. Those scores are used to rank the search results. Please note SimilarityAlgorithm is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include BM25Similarity and ClassicSimilarity.
SimpleField	A simple field using a primitive type or a collection of a primitive type.
SnowballTokenFilter	A filter that stems words using a Snowball-generated stemmer. This token filter is implemented using Apache Lucene.
SoftDeleteColumnDeletionDetectionPolicy	Defines a data deletion detection policy that implements a soft-deletion strategy. It determines whether an item should be deleted based on the value of a designated 'soft delete' column.
SplitSkill	A skill to split a string into chunks of text.
SqlIntegratedChangeTrackingPolicy	Defines a data change detection policy that captures changes using the Integrated Change Tracking feature of Azure SQL Database.
StemmerOverrideTokenFilter	Provides the ability to override other stemming filters with custom dictionary-based stemming. Any dictionary-stemmed terms will be marked as keywords so that they will not be stemmed with stemmers down the chain. Must be placed before any stemming filters. This token filter is implemented using Apache Lucene.
StemmerTokenFilter	Language specific stemming filter. This token filter is implemented using Apache Lucene.
StopAnalyzer	Divides text at non-letters; Applies the lowercase and stopword token filters. This analyzer is implemented using Apache Lucene.
StopwordsTokenFilter	Removes stop words from a token stream. This token filter is implemented using Apache Lucene.
SynonymMap	Represents a synonym map definition.
SynonymTokenFilter	Matches single or multi-word synonyms in a token stream. This token filter is implemented using Apache Lucene.
TagScoringFunction	Defines a function that boosts scores of documents with string values matching a given list of tags.
TagScoringParameters	Provides parameter values to a tag scoring function.
TextTranslationSkill	A skill to translate text from one language to another.
TextWeights	Defines weights on index fields for which matches should boost scoring in search queries.
TokenFilter	Base type for token filters. Please note TokenFilter is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AsciiFoldingTokenFilter, CjkBigramTokenFilter, CommonGramTokenFilter, DictionaryDecompounderTokenFilter, EdgeNGramTokenFilter, EdgeNGramTokenFilter, ElisionTokenFilter, KeepTokenFilter, KeywordMarkerTokenFilter, LengthTokenFilter, LimitTokenFilter, NGramTokenFilter, NGramTokenFilter, PatternCaptureTokenFilter, PatternReplaceTokenFilter, PhoneticTokenFilter, ShingleTokenFilter, SnowballTokenFilter, StemmerOverrideTokenFilter, StemmerTokenFilter, StopwordsTokenFilter, SynonymTokenFilter, TruncateTokenFilter, UniqueTokenFilter and WordDelimiterTokenFilter.
TruncateTokenFilter	Truncates the terms to a specific length. This token filter is implemented using Apache Lucene.
UaxUrlEmailTokenizer	Tokenizes urls and emails as one token. This tokenizer is implemented using Apache Lucene.
UniqueTokenFilter	Filters out tokens with same text as the previous token. This token filter is implemented using Apache Lucene.
VectorEncodingFormat.Values	The values of all declared VectorEncodingFormat properties as string constants. These can be used in VectorSearchFieldAttribute and anywhere else constants are required.
VectorSearch	Contains configuration options related to vector search.
VectorSearchAlgorithmConfiguration	Contains configuration options specific to the algorithm used during indexing or querying. Please note VectorSearchAlgorithmConfiguration is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include ExhaustiveKnnAlgorithmConfiguration and HnswAlgorithmConfiguration.
VectorSearchCompression	Contains configuration options specific to the compression method used during indexing or querying. Please note VectorSearchCompression is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include BinaryQuantizationCompression and ScalarQuantizationCompression.
VectorSearchField	A searchable vector field of type "Collection(Single)".
VectorSearchProfile	Defines a combination of configurations to use with vector search.
VectorSearchVectorizer	Specifies the vectorization method to be used during query time. Please note VectorSearchVectorizer is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AIServicesVisionVectorizer, AzureMachineLearningVectorizer, AzureOpenAIVectorizer and WebApiVectorizer.
WebApiSkill	A skill that can call a Web API endpoint, allowing you to extend a skillset by having it call your custom code.
WebApiVectorizer	Specifies a user-defined vectorizer for generating the vector embedding of a query string. Integration of an external vectorizer is achieved using the custom Web API interface of a skillset.
WebApiVectorizerParameters	Specifies the properties for connecting to a user-defined vectorizer.
WordDelimiterTokenFilter	Splits words into subwords and performs optional transformations on subword groups. This token filter is implemented using Apache Lucene.

Structs

AzureOpenAIModelName	The Azure Open AI model name that will be called.
BlobIndexerDataToExtract	Specifies the data to extract from Azure blob storage and tells the indexer which data to extract from image content when "imageAction" is set to a value other than "none". This applies to embedded image content in a .PDF or other application, or image files such as .jpg and .png, in Azure blobs.
BlobIndexerImageAction	Determines how to process embedded images and image files in Azure blob storage. Setting the "imageAction" configuration to any value other than "none" requires that a skillset also be attached to that indexer.
BlobIndexerParsingMode	Represents the parsing mode for indexing from an Azure blob data source.
BlobIndexerPdfTextRotationAlgorithm	Determines algorithm for text extraction from PDF files in Azure blob storage.
CharFilterName	Defines the names of all character filters supported by the search engine.
CustomEntityLookupSkillLanguage	The language codes supported for input text by CustomEntityLookupSkill.
EntityCategory	A string indicating what entity categories to return.
EntityRecognitionSkill.SkillVersion	Represents service version information of an EntityRecognitionSkill.
EntityRecognitionSkillLanguage	Deprecated. The language codes supported for input text by EntityRecognitionSkill.
ImageAnalysisSkillLanguage	The language codes supported for input by ImageAnalysisSkill.
ImageDetail	A string indicating which domain-specific details to return.
IndexerExecutionEnvironment	Specifies the environment in which the indexer should execute.
IndexProjectionMode	Defines behavior of the index projections in relation to the rest of the indexer.
KeyPhraseExtractionSkillLanguage	The language codes supported for input text by KeyPhraseExtractionSkill.
LexicalAnalyzerName	Defines the names of all text analyzers supported by the search engine.
LexicalTokenizerName	Defines the names of all tokenizers supported by the search engine.
OcrLineEnding	Defines the sequence of characters to use between the lines of text recognized by the OCR skill. The default value is "space".
OcrSkillLanguage	The language codes supported for input by OcrSkill.
PiiDetectionSkillMaskingMode	A string indicating what maskingMode to use to mask the personal information detected in the input text.
RegexFlag	Defines flags that can be combined to control how regular expressions are used in the pattern analyzer and pattern tokenizer.
SearchFieldDataType	Defines the data type of a field in a search index.
SearchIndexerDataSourceType	Defines the type of a datasource.
SentimentSkill.SkillVersion	Represents service version information of an SentimentSkill.
SentimentSkillLanguage	Deprecated. The language codes supported for input text by SentimentSkill.
SplitSkillLanguage	The language codes supported for input text by SplitSkill.
TextSplitMode	A value indicating which split mode to perform.
TextTranslationSkillLanguage	The language codes supported for input text by TextTranslationSkill.
TokenFilterName	Defines the names of all token filters supported by the search engine.
VectorEncodingFormat	The encoding format for interpreting vector field contents.
VectorSearchAlgorithmMetric	The similarity metric to use for vector comparisons. It is recommended to choose the same similarity metric as the embedding model was trained on.
VectorSearchCompressionTarget	The quantized data type of compressed vector values.
VisualFeature	The strings indicating what visual feature types to return.

Enums

CjkBigramTokenFilterScripts	Scripts that can be ignored by CjkBigramTokenFilter.
EdgeNGramTokenFilterSide	Specifies which side of the input an n-gram should be generated from.
IndexerExecutionStatus	Represents the status of an individual indexer execution.
IndexerStatus	Represents the overall indexer status.
MicrosoftStemmingTokenizerLanguage	Lists the languages supported by the Microsoft language stemming tokenizer.
MicrosoftTokenizerLanguage	Lists the languages supported by the Microsoft language tokenizer.
PhoneticEncoder	Identifies the type of phonetic encoder to use with a PhoneticTokenFilter.
ScoringFunctionAggregation	Defines the aggregation function used to combine the results of all the scoring functions in a scoring profile.
ScoringFunctionInterpolation	Defines the function used to interpolate score boosting across a range of documents.
SnowballTokenFilterLanguage	The language to use for a Snowball token filter.
StemmerTokenFilterLanguage	The language to use for a stemmer token filter.
StopwordsList	Identifies a predefined list of language-specific stopwords.
TokenCharacterKind	Represents classes of characters on which a token filter can operate.