VertexAIMemoryBuilderExtensions.WithVertexAITextEmbeddingGeneration Method
Definition
Important
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Overloads
| WithVertexAITextEmbeddingGeneration(MemoryBuilder, String, Func<ValueTask<String>>, String, String, VertexAIVersion, HttpClient) |
Add VertexAI embeddings generation service to the memory builder. |
| WithVertexAITextEmbeddingGeneration(MemoryBuilder, String, String, String, String, VertexAIVersion, HttpClient) |
Add VertexAI embeddings generation service to the memory builder. |
WithVertexAITextEmbeddingGeneration(MemoryBuilder, String, Func<ValueTask<String>>, String, String, VertexAIVersion, HttpClient)
Add VertexAI embeddings generation service to the memory builder.
public static Microsoft.SemanticKernel.Memory.MemoryBuilder WithVertexAITextEmbeddingGeneration (this Microsoft.SemanticKernel.Memory.MemoryBuilder builder, string modelId, Func<System.Threading.Tasks.ValueTask<string>> bearerTokenProvider, string location, string projectId, Microsoft.SemanticKernel.Connectors.Google.VertexAIVersion apiVersion = Microsoft.SemanticKernel.Connectors.Google.VertexAIVersion.V1, System.Net.Http.HttpClient? httpClient = default);static member WithVertexAITextEmbeddingGeneration : Microsoft.SemanticKernel.Memory.MemoryBuilder * string * Func<System.Threading.Tasks.ValueTask<string>> * string * string * Microsoft.SemanticKernel.Connectors.Google.VertexAIVersion * System.Net.Http.HttpClient -> Microsoft.SemanticKernel.Memory.MemoryBuilder<Extension()>
Public Function WithVertexAITextEmbeddingGeneration (builder As MemoryBuilder, modelId As String, bearerTokenProvider As Func(Of ValueTask(Of String)), location As String, projectId As String, Optional apiVersion As VertexAIVersion = Microsoft.SemanticKernel.Connectors.Google.VertexAIVersion.V1, Optional httpClient As HttpClient = Nothing) As MemoryBuilderParameters
- builder
- MemoryBuilder
The MemoryBuilder instance
- modelId
- String
The model for text generation.
- location
- String
The location to process the request
- projectId
- String
Your project ID
- apiVersion
- VertexAIVersion
The version of the Vertex API.
- httpClient
- HttpClient
The optional custom HttpClient.
Returns
The updated memory builder.
Remarks
This bearerTokenProvider will be called on every request, when providing the token consider using caching strategy and refresh token logic when it is expired or close to expiration.
Applies to
WithVertexAITextEmbeddingGeneration(MemoryBuilder, String, String, String, String, VertexAIVersion, HttpClient)
Add VertexAI embeddings generation service to the memory builder.
public static Microsoft.SemanticKernel.Memory.MemoryBuilder WithVertexAITextEmbeddingGeneration (this Microsoft.SemanticKernel.Memory.MemoryBuilder builder, string modelId, string bearerKey, string location, string projectId, Microsoft.SemanticKernel.Connectors.Google.VertexAIVersion apiVersion = Microsoft.SemanticKernel.Connectors.Google.VertexAIVersion.V1, System.Net.Http.HttpClient? httpClient = default);static member WithVertexAITextEmbeddingGeneration : Microsoft.SemanticKernel.Memory.MemoryBuilder * string * string * string * string * Microsoft.SemanticKernel.Connectors.Google.VertexAIVersion * System.Net.Http.HttpClient -> Microsoft.SemanticKernel.Memory.MemoryBuilder<Extension()>
Public Function WithVertexAITextEmbeddingGeneration (builder As MemoryBuilder, modelId As String, bearerKey As String, location As String, projectId As String, Optional apiVersion As VertexAIVersion = Microsoft.SemanticKernel.Connectors.Google.VertexAIVersion.V1, Optional httpClient As HttpClient = Nothing) As MemoryBuilderParameters
- builder
- MemoryBuilder
The MemoryBuilder instance
- modelId
- String
The model for text generation.
- bearerKey
- String
The Bearer Key for authentication.
- location
- String
The location to process the request
- projectId
- String
Your project ID
- apiVersion
- VertexAIVersion
The version of the Vertex API.
- httpClient
- HttpClient
The optional custom HttpClient.
Returns
The updated memory builder.