AzureAISearchDataSource Class
Azure AI Search data source.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Inheritance
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AzureAISearchDataSource
Constructor
AzureAISearchDataSource(*, type: Literal['azure_search'] = 'azure_search', parameters: Annotated[dict, AzureAISearchDataSourceParameters], **extra_data: Any)Keyword-Only Parameters
| Name | Description |
|---|---|
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type
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Default value: azure_search
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parameters
Required
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Methods
| from_azure_ai_search_settings |
Create an instance from Azure AI Search settings. |
from_azure_ai_search_settings
Create an instance from Azure AI Search settings.
from_azure_ai_search_settings(azure_ai_search_settings: AzureAISearchSettings, **kwargs: Any)Parameters
| Name | Description |
|---|---|
|
azure_ai_search_settings
Required
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Attributes
model_computed_fields
A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}model_config
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_config: ClassVar[ConfigDict] = {'alias_generator': AliasGenerator(alias=None, validation_alias=<function to_camel>, serialization_alias=<function to_snake>), 'arbitrary_types_allowed': True, 'extra': 'allow', 'populate_by_name': True, 'use_enum_values': True, 'validate_assignment': True}model_fields
Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.
This replaces Model.fields from Pydantic V1.
model_fields: ClassVar[Dict[str, FieldInfo]] = {'parameters': FieldInfo(annotation=dict, required=True, alias_priority=1, validation_alias='parameters', serialization_alias='parameters', metadata=[<class 'semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.azure_chat_prompt_execution_settings.AzureAISearchDataSourceParameters'>]), 'type': FieldInfo(annotation=Literal['azure_search'], required=False, default='azure_search', alias_priority=1, validation_alias='type', serialization_alias='type')}parameters
parameters: Annotated[dict, AzureAISearchDataSourceParameters]type
type: Literal['azure_search']