Create a Clarifai vectorstore from a list of texts.
from_texts(
cls,
texts: List[str],
embedding: Optional[Embeddings] = None,
metadatas: Optional[List[dict]] = None,
user_id: Optional[str] = None,
app_id: Optional[str] = None,
number_of_docs: Optional[int] = None,
pat: Optional[str] = None,
token: Optional[str] = None,
**kwargs: Any = {}
) -> Clarifai| Name | Type | Description |
|---|---|---|
user_id | str | Default: NoneUser ID. |
app_id | str | Default: NoneApp ID. |
texts* | List[str] | List of texts to add. |
number_of_docs | Optional[int] | Default: NoneNumber of documents |
pat | Optional[str] | Default: NonePersonal access token. |
token | Optional[str] | Default: NoneSession token. Defaults to None. |
metadatas | Optional[List[dict]] | Default: NoneOptional list |
kwargs | Any | Default: {}Additional keyword arguments to be passed to the Search. |