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Return docs most similar to embedding vector.
asimilarity_search_by_vector( self, embedding: List[float], k: int = 4, filter: Optional[Dict[str, Any]] = None, **kwargs: Any = {} ) -> List[Document]
embedding
List[float]
Embedding to look up documents similar to.
k
int
4
Number of Documents to return. Defaults to 4.
filter
Optional[Dict[str, Any]]
None
Filter on the metadata to apply.
