Return docs most similar to embedding vector.
similarity_search_by_vector(
self,
embedding: Optional[List[float]],
k: int = 4,
filter: Optional[Union[dict, list]] = None,
predicates: Optional[Predicates] = None,
**kwargs: Any = {}
) -> List[Document]