Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶
Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creating
the new model: you should trust this data
deep – set to True to make a deep copy of the model
Returns
new model instance
classmethod create(dataset_id: str, data_types: List[str], num_contexts: int = 6) → KayAiRetriever[source]¶
Create a KayRetriever given a Kay dataset id and a list of datasources.
Parameters
dataset_id – A dataset id category in Kay, like “company”
data_types – A list of datasources present within a dataset. For
“company” the corresponding datasources could be
[“10-K”, “10-Q”, “8-K”, “PressRelease”].
num_contexts – The number of documents to retrieve on each query.
Defaults to 6.