AzureAISearchKernelBuilderExtensions.AddAzureAISearchVectorStoreRecordCollection Method
Definition
Important
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Overloads
| AddAzureAISearchVectorStoreRecordCollection<TRecord>(IKernelBuilder, String, AzureAISearchVectorStoreRecordCollectionOptions<TRecord>, String) |
Register an Azure AI Search Microsoft.Extensions.VectorData.IVectorStoreRecordCollection`2, Microsoft.Extensions.VectorData.IVectorizedSearch`1 and Microsoft.Extensions.VectorData.IVectorizableTextSearch`1 with the specified service ID and where SearchIndexClient is retrieved from the dependency injection container. |
| AddAzureAISearchVectorStoreRecordCollection<TRecord>(IKernelBuilder, String, Uri, AzureKeyCredential, AzureAISearchVectorStoreRecordCollectionOptions<TRecord>, String) |
Register an Azure AI Search Microsoft.Extensions.VectorData.IVectorStoreRecordCollection`2, Microsoft.Extensions.VectorData.IVectorizedSearch`1 and Microsoft.Extensions.VectorData.IVectorizableTextSearch`1 with the provided Uri and AzureKeyCredential and the specified service ID. |
| AddAzureAISearchVectorStoreRecordCollection<TRecord>(IKernelBuilder, String, Uri, TokenCredential, AzureAISearchVectorStoreRecordCollectionOptions<TRecord>, String) |
Register an Azure AI Search Microsoft.Extensions.VectorData.IVectorStoreRecordCollection`2, Microsoft.Extensions.VectorData.IVectorizedSearch`1 and Microsoft.Extensions.VectorData.IVectorizableTextSearch`1 with the provided Uri and TokenCredential and the specified service ID. |
AddAzureAISearchVectorStoreRecordCollection<TRecord>(IKernelBuilder, String, AzureAISearchVectorStoreRecordCollectionOptions<TRecord>, String)
Register an Azure AI Search Microsoft.Extensions.VectorData.IVectorStoreRecordCollection`2, Microsoft.Extensions.VectorData.IVectorizedSearch`1 and Microsoft.Extensions.VectorData.IVectorizableTextSearch`1 with the specified service ID and where SearchIndexClient is retrieved from the dependency injection container.
public static Microsoft.SemanticKernel.IKernelBuilder AddAzureAISearchVectorStoreRecordCollection<TRecord>(this Microsoft.SemanticKernel.IKernelBuilder builder, string collectionName, Microsoft.SemanticKernel.Connectors.AzureAISearch.AzureAISearchVectorStoreRecordCollectionOptions<TRecord>? options = default, string? serviceId = default);static member AddAzureAISearchVectorStoreRecordCollection : Microsoft.SemanticKernel.IKernelBuilder * string * Microsoft.SemanticKernel.Connectors.AzureAISearch.AzureAISearchVectorStoreRecordCollectionOptions<'Record> * string -> Microsoft.SemanticKernel.IKernelBuilder<Extension()>
Public Function AddAzureAISearchVectorStoreRecordCollection(Of TRecord) (builder As IKernelBuilder, collectionName As String, Optional options As AzureAISearchVectorStoreRecordCollectionOptions(Of TRecord) = Nothing, Optional serviceId As String = Nothing) As IKernelBuilderType Parameters
- TRecord
The type of the data model that the collection should contain.
Parameters
- builder
- IKernelBuilder
The builder to register the Microsoft.Extensions.VectorData.IVectorStoreRecordCollection`2 on.
- collectionName
- String
The name of the collection that this AzureAISearchVectorStoreRecordCollection<TRecord> will access.
Optional configuration options to pass to the AzureAISearchVectorStoreRecordCollection<TRecord>.
- serviceId
- String
An optional service id to use as the service key.
Returns
The kernel builder.
Applies to
AddAzureAISearchVectorStoreRecordCollection<TRecord>(IKernelBuilder, String, Uri, AzureKeyCredential, AzureAISearchVectorStoreRecordCollectionOptions<TRecord>, String)
Register an Azure AI Search Microsoft.Extensions.VectorData.IVectorStoreRecordCollection`2, Microsoft.Extensions.VectorData.IVectorizedSearch`1 and Microsoft.Extensions.VectorData.IVectorizableTextSearch`1 with the provided Uri and AzureKeyCredential and the specified service ID.
public static Microsoft.SemanticKernel.IKernelBuilder AddAzureAISearchVectorStoreRecordCollection<TRecord>(this Microsoft.SemanticKernel.IKernelBuilder builder, string collectionName, Uri endpoint, Azure.AzureKeyCredential credential, Microsoft.SemanticKernel.Connectors.AzureAISearch.AzureAISearchVectorStoreRecordCollectionOptions<TRecord>? options = default, string? serviceId = default);static member AddAzureAISearchVectorStoreRecordCollection : Microsoft.SemanticKernel.IKernelBuilder * string * Uri * Azure.AzureKeyCredential * Microsoft.SemanticKernel.Connectors.AzureAISearch.AzureAISearchVectorStoreRecordCollectionOptions<'Record> * string -> Microsoft.SemanticKernel.IKernelBuilder<Extension()>
Public Function AddAzureAISearchVectorStoreRecordCollection(Of TRecord) (builder As IKernelBuilder, collectionName As String, endpoint As Uri, credential As AzureKeyCredential, Optional options As AzureAISearchVectorStoreRecordCollectionOptions(Of TRecord) = Nothing, Optional serviceId As String = Nothing) As IKernelBuilderType Parameters
- TRecord
The type of the data model that the collection should contain.
Parameters
- builder
- IKernelBuilder
The builder to register the Microsoft.Extensions.VectorData.IVectorStoreRecordCollection`2 on.
- collectionName
- String
The name of the collection that this AzureAISearchVectorStoreRecordCollection<TRecord> will access.
- endpoint
- Uri
The service endpoint for Azure AI Search.
- credential
- AzureKeyCredential
The credential to authenticate to Azure AI Search with.
Optional configuration options to pass to the AzureAISearchVectorStoreRecordCollection<TRecord>.
- serviceId
- String
An optional service id to use as the service key.
Returns
The kernel builder.
Applies to
AddAzureAISearchVectorStoreRecordCollection<TRecord>(IKernelBuilder, String, Uri, TokenCredential, AzureAISearchVectorStoreRecordCollectionOptions<TRecord>, String)
Register an Azure AI Search Microsoft.Extensions.VectorData.IVectorStoreRecordCollection`2, Microsoft.Extensions.VectorData.IVectorizedSearch`1 and Microsoft.Extensions.VectorData.IVectorizableTextSearch`1 with the provided Uri and TokenCredential and the specified service ID.
public static Microsoft.SemanticKernel.IKernelBuilder AddAzureAISearchVectorStoreRecordCollection<TRecord>(this Microsoft.SemanticKernel.IKernelBuilder builder, string collectionName, Uri endpoint, Azure.Core.TokenCredential tokenCredential, Microsoft.SemanticKernel.Connectors.AzureAISearch.AzureAISearchVectorStoreRecordCollectionOptions<TRecord>? options = default, string? serviceId = default);static member AddAzureAISearchVectorStoreRecordCollection : Microsoft.SemanticKernel.IKernelBuilder * string * Uri * Azure.Core.TokenCredential * Microsoft.SemanticKernel.Connectors.AzureAISearch.AzureAISearchVectorStoreRecordCollectionOptions<'Record> * string -> Microsoft.SemanticKernel.IKernelBuilder<Extension()>
Public Function AddAzureAISearchVectorStoreRecordCollection(Of TRecord) (builder As IKernelBuilder, collectionName As String, endpoint As Uri, tokenCredential As TokenCredential, Optional options As AzureAISearchVectorStoreRecordCollectionOptions(Of TRecord) = Nothing, Optional serviceId As String = Nothing) As IKernelBuilderType Parameters
- TRecord
The type of the data model that the collection should contain.
Parameters
- builder
- IKernelBuilder
The builder to register the Microsoft.Extensions.VectorData.IVectorStoreRecordCollection`2 on.
- collectionName
- String
The name of the collection that this AzureAISearchVectorStoreRecordCollection<TRecord> will access.
- endpoint
- Uri
The service endpoint for Azure AI Search.
- tokenCredential
- TokenCredential
The credential to authenticate to Azure AI Search with.
Optional configuration options to pass to the AzureAISearchVectorStoreRecordCollection<TRecord>.
- serviceId
- String
An optional service id to use as the service key.
Returns
The kernel builder.