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HeidiSteenjnlycklama
HeidiSteen
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jnlycklama
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azure search data plane string changes requested by PM (#26327)
* String changes requested by PM feature owner * String changes requested by PM feature owner * Updated SplitSkillLanguage languages * Finnish was in the wrong spot * restored SplitSKillLanguage list to avoid breaking change
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‎specification/search/data-plane/Azure.Search/preview/2023-10-01-Preview/searchservice.json‎

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@@ -6143,7 +6143,7 @@
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"items": {
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"$ref": "#/definitions/VectorSearchAlgorithmConfiguration"
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},
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"description": "Contains configuration options specific to the algorithm used during indexing and/or querying."
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"description": "Contains configuration options specific to the algorithm used during indexing or querying."
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},
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"vectorizers": {
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"type": "array",
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"name",
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"kind"
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],
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"description": "Contains configuration options specific to the algorithm used during indexing and/or querying."
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"description": "Contains configuration options specific to the algorithm used during indexing or querying."
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},
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"HnswVectorSearchAlgorithmConfiguration": {
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"type": "object",
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"hnswParameters": {
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"x-ms-client-name": "Parameters",
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"$ref": "#/definitions/HnswParameters",
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"description": "Contains the parameters specific to hnsw algorithm."
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"description": "Contains the parameters specific to HNSW algorithm."
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}
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},
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"description": "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."
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"description": "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."
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},
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"HnswParameters": {
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"type": "object",
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"description": "The similarity metric to use for vector comparisons."
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}
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},
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"description": "Contains the parameters specific to hnsw algorithm."
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"description": "Contains the parameters specific to the HNSW algorithm."
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},
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"ExhaustiveKnnVectorSearchAlgorithmConfiguration": {
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"type": "object",
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{
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"value": "hnsw",
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"name": "Hnsw",
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"description": "Hnsw (Hierarchical Navigable Small World), a type of approximate nearest neighbors algorithm."
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"description": "HNSW (Hierarchical Navigable Small World), a type of approximate nearest neighbors algorithm."
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},
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{
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"value": "exhaustiveKnn",
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"name",
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"kind"
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],
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"description": "Contains specific details for a vectorization method to be used during query time."
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"description": "Specifies the vectorization method to be used during query time."
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},
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"AzureOpenAIVectorizer": {
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"type": "object",
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"azureOpenAIParameters": {
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"x-ms-client-name": "AzureOpenAIParameters",
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"$ref": "#/definitions/AzureOpenAIParameters",
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"description": "Contains the parameters specific to Azure Open AI embedding vectorization."
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"description": "Contains the parameters specific to Azure OpenAI embedding vectorization."
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}
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},
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"description": "Contains the parameters specific to using an Azure Open AI service for vectorization at query time."
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"description": "Specifies the Azure OpenAI resource used to vectorize a query string."
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},
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"AzureOpenAIParameters": {
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"type": "object",
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"properties": {
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"resourceUri": {
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"type": "string",
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"format": "uri",
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"description": "The resource uri for your Azure Open AI resource."
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"description": "The resource URI of the Azure OpenAI resource."
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},
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"deploymentId": {
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"type": "string",
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"description": "ID of your Azure Open AI model deployment on the designated resource."
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"description": "ID of the Azure OpenAI model deployment on the designated resource."
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},
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"apiKey": {
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"type": "string",
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"description": "API key for the designated Azure Open AI resource."
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"description": "API key of the designated Azure OpenAI resource."
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},
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"authIdentity": {
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"$ref": "#/definitions/SearchIndexerDataIdentity",
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"x-nullable": true,
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"description": "The user-assigned managed identity used for outbound connections."
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}
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},
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"description": "Contains the parameters specific to using an Azure Open AI service for vectorization at query time."
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"description": "Specifies the parameters for connecting to the Azure OpenAI resource."
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},
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"CustomVectorizer": {
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"type": "object",
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"customVectorizerParameters": {
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"x-ms-client-name": "CustomVectorizerParameters",
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"$ref": "#/definitions/CustomVectorizerParameters",
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"description": "Contains the parameters specific to generating vector embeddings via a custom endpoint."
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"description": "Specifies the properties of the user-defined vectorizer."
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}
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},
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"description": "Contains the parameters specific to generating vector embeddings via a custom endpoint."
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"description": "Specifies a user-defined vectorizer for generating the vector embedding of a query string. Integration of an external vectorizer is achieved using the custom Web API interface of a skillset."
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},
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"CustomVectorizerParameters": {
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"type": "object",
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"properties": {
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"uri": {
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"type": "string",
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"format": "uri",
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"description": "The uri for the Web API."
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"description": "The URI of the Web API providing the vectorizer."
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},
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"httpHeaders": {
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"$ref": "#/definitions/WebApiHttpHeaders",
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"description": "The headers required to make the http request."
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"description": "The headers required to make the HTTP request."
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},
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"httpMethod": {
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"type": "string",
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"description": "The method for the http request."
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"description": "The method for the HTTP request."
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},
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"timeout": {
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"type": "string",
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"description": "The user-assigned managed identity used for outbound connections. If an authResourceId is provided and it's not specified, the system-assigned managed identity is used. On updates to the indexer, if the identity is unspecified, the value remains unchanged. If set to \"none\", the value of this property is cleared."
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}
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},
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"description": "Contains the parameters specific to generating vector embeddings via a custom endpoint."
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"description": "Specifies the properties for connecting to a user-defined vectorizer."
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},
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"VectorSearchVectorizerKind": {
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"type": "string",
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{
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"value": "azureOpenAI",
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"name": "AzureOpenAI",
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"description": "Generate embeddings using an Azure Open AI service at query time."
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"description": "Generate embeddings using an Azure OpenAI resource at query time."
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},
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{
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"value": "customWebApi",
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]
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},
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"CognitiveServicesAccountKey": {
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"description": "An Azure AI service resource provisioned with a key that is attached to a skillset.",
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"description": "The multi-region account key of an Azure AI service resource that's attached to a skillset.",
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"x-ms-discriminator-value": "#Microsoft.Azure.Search.CognitiveServicesByKey",
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"allOf": [
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{
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"resourceUri": {
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"type": "string",
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"format": "uri",
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"description": "The resource uri for your Azure Open AI resource."
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"description": "The resource URI for your Azure OpenAI resource."
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},
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"deploymentId": {
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"type": "string",
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"description": "ID of your Azure Open AI model deployment on the designated resource."
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"description": "ID of your Azure OpenAI model deployment on the designated resource."
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},
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"apiKey": {
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"type": "string",
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"description": "API key for the designated Azure Open AI resource."
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"description": "API key for the designated Azure OpenAI resource."
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},
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"authIdentity": {
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"$ref": "#/definitions/SearchIndexerDataIdentity",
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"x-nullable": true,
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"description": "The user-assigned managed identity used for outbound connections."
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}
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},
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"description": "Allows you to generate a vector embedding for a given text input using the Azure Open AI service."
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"description": "Allows you to generate a vector embedding for a given text input using the Azure OpenAI resource."
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},
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"ListSkillsetsResult": {
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"properties": {

‎specification/search/data-plane/Azure.Search/stable/2023-11-01/searchservice.json‎

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@@ -5545,7 +5545,7 @@
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"items": {
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"$ref": "#/definitions/VectorSearchAlgorithmConfiguration"
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},
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"description": "Contains configuration options specific to the algorithm used during indexing and/or querying."
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"description": "Contains configuration options specific to the algorithm used during indexing or querying."
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}
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},
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"description": "Contains configuration options related to vector search."
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"name",
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"kind"
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],
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"description": "Contains configuration options specific to the algorithm used during indexing and/or querying."
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"description": "Contains configuration options specific to the algorithm used during indexing or querying."
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},
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"HnswVectorSearchAlgorithmConfiguration": {
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"type": "object",
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"hnswParameters": {
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"x-ms-client-name": "Parameters",
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"$ref": "#/definitions/HnswParameters",
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"description": "Contains the parameters specific to hnsw algorithm."
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"description": "Contains the parameters specific to HNSW algorithm."
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}
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},
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"description": "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."
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"description": "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."
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},
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"HnswParameters": {
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"type": "object",
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"description": "The similarity metric to use for vector comparisons."
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}
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},
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"description": "Contains the parameters specific to hnsw algorithm."
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"description": "Contains the parameters specific to the HNSW algorithm."
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},
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"ExhaustiveKnnVectorSearchAlgorithmConfiguration": {
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"type": "object",
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{
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"value": "hnsw",
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"name": "Hnsw",
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"description": "Hnsw (Hierarchical Navigable Small World), a type of approximate nearest neighbors algorithm."
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"description": "HNSW (Hierarchical Navigable Small World), a type of approximate nearest neighbors algorithm."
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},
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{
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"value": "exhaustiveKnn",

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