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asimilarity_search_by_vector( self, embedding: List[float], k: int = 4, **kwargs
embedding
List[float]
k
int
4
**kwargs
Any
{}
Return docs most similar to the given embedding vector.
Embedding to look up documents similar to.
Number of Documents to return.
Additional keyword arguments passed to _avector_search_with_score.
_avector_search_with_score
