Run more texts through the embeddings and add to the VectorStore.
aadd_texts(
self,
texts: Iterable[str],
metadatas: list[dict] | None = None,
ids: Sequence[str] | None = None,
batch_size: int = 64,
**kwargs: Any = {}
) -> list[str]| Name | Type | Description |
|---|---|---|
texts* | Iterable[str] | Iterable of strings to add to the |
metadatas | list[dict] | None | Default: NoneOptional list of metadatas associated with the texts. |
ids | Sequence[str] | None | Default: NoneOptional list of ids to associate with the texts. Ids have to be uuid-like strings. |
batch_size | int | Default: 64How many vectors upload per-request.
Default: |
**kwargs | Any | Default: {}Additional keyword arguments. |