AzureBlobKnowledgeSourceParameters Class
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
Parameters for Azure Blob Storage knowledge source.
public class AzureBlobKnowledgeSourceParameters : System.ClientModel.Primitives.IJsonModel<Azure.Search.Documents.Indexes.Models.AzureBlobKnowledgeSourceParameters>, System.ClientModel.Primitives.IPersistableModel<Azure.Search.Documents.Indexes.Models.AzureBlobKnowledgeSourceParameters>type AzureBlobKnowledgeSourceParameters = class
interface IJsonModel<AzureBlobKnowledgeSourceParameters>
interface IPersistableModel<AzureBlobKnowledgeSourceParameters>Public Class AzureBlobKnowledgeSourceParameters
Implements IJsonModel(Of AzureBlobKnowledgeSourceParameters), IPersistableModel(Of AzureBlobKnowledgeSourceParameters)- Inheritance
-
AzureBlobKnowledgeSourceParameters
- Implements
Constructors
| AzureBlobKnowledgeSourceParameters(String, String) |
Initializes a new instance of AzureBlobKnowledgeSourceParameters. |
Properties
| ChatCompletionModel |
Optional chat completion model for image verbalization or context extraction. Please note KnowledgeAgentModel 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 KnowledgeAgentAzureOpenAIModel. |
| ConnectionString |
Key-based connection string or the ResourceId format if using a managed identity. |
| ContainerName |
The name of the blob storage container. |
| CreatedResources |
Resources created by the knowledge source. |
| DisableImageVerbalization |
Indicates whether image verbalization should be disabled. |
| EmbeddingModel |
Optional vectorizer configuration for vectorizing content. 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. |
| FolderPath |
Optional folder path within the container. |
| Identity |
An explicit identity to use for this knowledge source. 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. |
| IngestionSchedule |
Optional schedule for data ingestion. |
Methods
| JsonModelWriteCore(Utf8JsonWriter, ModelReaderWriterOptions) |
Explicit Interface Implementations
| IJsonModel<AzureBlobKnowledgeSourceParameters>.Create(Utf8JsonReader, ModelReaderWriterOptions) |
Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model. |
| IJsonModel<AzureBlobKnowledgeSourceParameters>.Write(Utf8JsonWriter, ModelReaderWriterOptions) |
Writes the model to the provided Utf8JsonWriter. |
| IPersistableModel<AzureBlobKnowledgeSourceParameters>.Create(BinaryData, ModelReaderWriterOptions) |
Converts the provided BinaryData into a model. |
| IPersistableModel<AzureBlobKnowledgeSourceParameters>.GetFormatFromOptions(ModelReaderWriterOptions) |
Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service. |
| IPersistableModel<AzureBlobKnowledgeSourceParameters>.Write(ModelReaderWriterOptions) |
Writes the model into a BinaryData. |
