AzureOpenAITextEmbeddingGenerationService Constructors

Reference

Definition

Namespace:: Microsoft.SemanticKernel.Connectors.AzureOpenAI

Assembly:: Microsoft.SemanticKernel.Connectors.AzureOpenAI.dll

Package:: Microsoft.SemanticKernel.Connectors.AzureOpenAI v1.20.0

Important

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Overloads

AzureOpenAITextEmbeddingGenerationService(String, AzureOpenAIClient, String, ILoggerFactory, Nullable<Int32>)	Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.
AzureOpenAITextEmbeddingGenerationService(String, String, TokenCredential, String, HttpClient, ILoggerFactory, Nullable<Int32>)	Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.
AzureOpenAITextEmbeddingGenerationService(String, String, String, String, HttpClient, ILoggerFactory, Nullable<Int32>)	Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.

AzureOpenAITextEmbeddingGenerationService(String, AzureOpenAIClient, String, ILoggerFactory, Nullable<Int32>)

Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.

public AzureOpenAITextEmbeddingGenerationService (string deploymentName, Azure.AI.OpenAI.AzureOpenAIClient azureOpenAIClient, string? modelId = default, Microsoft.Extensions.Logging.ILoggerFactory? loggerFactory = default, int? dimensions = default);

new Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService : string * Azure.AI.OpenAI.AzureOpenAIClient * string * Microsoft.Extensions.Logging.ILoggerFactory * Nullable<int> -> Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService

Public Sub New (deploymentName As String, azureOpenAIClient As AzureOpenAIClient, Optional modelId As String = Nothing, Optional loggerFactory As ILoggerFactory = Nothing, Optional dimensions As Nullable(Of Integer) = Nothing)

Parameters

deploymentName: String

Azure OpenAI deployment name, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

azureOpenAIClient: AzureOpenAIClient

Custom AzureOpenAIClient for HTTP requests.

modelId: String

Azure OpenAI model id, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

loggerFactory: ILoggerFactory

The ILoggerFactory to use for logging. If null, no logging will be performed.

dimensions: Nullable<Int32>

The number of dimensions the resulting output embeddings should have. Only supported in "text-embedding-3" and later models.

Applies to

AzureOpenAITextEmbeddingGenerationService(String, String, TokenCredential, String, HttpClient, ILoggerFactory, Nullable<Int32>)

Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.

public AzureOpenAITextEmbeddingGenerationService (string deploymentName, string endpoint, Azure.Core.TokenCredential credential, string? modelId = default, System.Net.Http.HttpClient? httpClient = default, Microsoft.Extensions.Logging.ILoggerFactory? loggerFactory = default, int? dimensions = default);

new Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService : string * string * Azure.Core.TokenCredential * string * System.Net.Http.HttpClient * Microsoft.Extensions.Logging.ILoggerFactory * Nullable<int> -> Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService

Public Sub New (deploymentName As String, endpoint As String, credential As TokenCredential, Optional modelId As String = Nothing, Optional httpClient As HttpClient = Nothing, Optional loggerFactory As ILoggerFactory = Nothing, Optional dimensions As Nullable(Of Integer) = Nothing)

Parameters

deploymentName: String

Azure OpenAI deployment name, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

endpoint: String

Azure OpenAI deployment URL, see https://learn.microsoft.com/azure/cognitive-services/openai/quickstart

credential: TokenCredential

Token credentials, e.g. DefaultAzureCredential, ManagedIdentityCredential, EnvironmentCredential, etc.

modelId: String

Azure OpenAI model id, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

httpClient: HttpClient

Custom HttpClient for HTTP requests.

loggerFactory: ILoggerFactory

The ILoggerFactory to use for logging. If null, no logging will be performed.

dimensions: Nullable<Int32>

The number of dimensions the resulting output embeddings should have. Only supported in "text-embedding-3" and later models.

Applies to

AzureOpenAITextEmbeddingGenerationService(String, String, String, String, HttpClient, ILoggerFactory, Nullable<Int32>)

Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.

public AzureOpenAITextEmbeddingGenerationService (string deploymentName, string endpoint, string apiKey, string? modelId = default, System.Net.Http.HttpClient? httpClient = default, Microsoft.Extensions.Logging.ILoggerFactory? loggerFactory = default, int? dimensions = default);

new Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService : string * string * string * string * System.Net.Http.HttpClient * Microsoft.Extensions.Logging.ILoggerFactory * Nullable<int> -> Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService

Public Sub New (deploymentName As String, endpoint As String, apiKey As String, Optional modelId As String = Nothing, Optional httpClient As HttpClient = Nothing, Optional loggerFactory As ILoggerFactory = Nothing, Optional dimensions As Nullable(Of Integer) = Nothing)

Parameters

deploymentName: String

Azure OpenAI deployment name, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

endpoint: String

Azure OpenAI deployment URL, see https://learn.microsoft.com/azure/cognitive-services/openai/quickstart

apiKey: String

Azure OpenAI API key, see https://learn.microsoft.com/azure/cognitive-services/openai/quickstart

modelId: String

Azure OpenAI model id, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

httpClient: HttpClient

Custom HttpClient for HTTP requests.

loggerFactory: ILoggerFactory

The ILoggerFactory to use for logging. If null, no logging will be performed.

dimensions: Nullable<Int32>

The number of dimensions the resulting output embeddings should have. Only supported in "text-embedding-3" and later models.

Applies to

次の方法で共有

AzureOpenAITextEmbeddingGenerationService Constructors

Definition

Overloads

AzureOpenAITextEmbeddingGenerationService(String, AzureOpenAIClient, String, ILoggerFactory, Nullable<Int32>)

Parameters

Applies to

AzureOpenAITextEmbeddingGenerationService(String, String, TokenCredential, String, HttpClient, ILoggerFactory, Nullable<Int32>)

Parameters

Applies to

AzureOpenAITextEmbeddingGenerationService(String, String, String, String, HttpClient, ILoggerFactory, Nullable<Int32>)

Parameters

Applies to

その他のリソース