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similarity_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 embedding vector.
Embedding to look up documents similar to.
Number of Documents to return. Defaults to 4.
Values for filtering on metadata during similarity search.
