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asimilarity_search_by_vector( self, embedding: list[float], k: int = 4, **kwargs
embedding
list[float]
k
int
4
**kwargs
Any
{}
Async return docs most similar to embedding vector.
Embedding to look up documents similar to.
Number of Document objects to return.
Document
Arguments to pass to the search method.
