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asimilarity_search_by_vector( self, embedding: Union[List[float], str], k: int
embedding
Union[List[float], str]
Embedding to look up documents similar to.
k
int
4
Number of Documents to return. Defaults to 4.
filter
Optional[str]
None
namespace
Return documents closest to the given embedding.
Optional metadata filter in str format
Namespace to use from the index.
