snowflake.core.cortex.embed_service.EmbedRequest¶
- class snowflake.core.cortex.embed_service.EmbedRequest(*, model: Annotated[str, Strict(strict=True)], text: Annotated[List[Annotated[str, Strict(strict=True)]], MinLen(min_length=1)])¶
Bases:
BaseModel
A model object representing the EmbedRequest resource.
Constructs an object of type EmbedRequest with the provided properties.
- Parameters:
model (str) –
Identifier of the model to use for generating embeddings. Refer to Snowflake documentation for the list of supported models. Examples:
snowflake-arctic-embed-m
snowflake-arctic-embed-m-v1.5
text (List[str]) – An array of input texts for which vector embeddings will be calculated. Example: [“Hello world”, “Machine learning is fascinating”]
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.
Methods
- classmethod from_dict(obj: dict) EmbedRequest ¶
Create an instance of EmbedRequest from a dict.
- classmethod from_json(json_str: str) EmbedRequest ¶
Create an instance of EmbedRequest from a JSON string.
- to_dict(hide_readonly_properties: bool = False) dict[str, Any] ¶
Returns the dictionary representation of the model using alias.
- to_dict_without_readonly_properties() dict[str, Any] ¶
Return the dictionary representation of the model without readonly properties.
- to_json() str ¶
Returns the JSON representation of the model using alias.
- to_str() str ¶
Returns the string representation of the model using alias.