Method●Since v0.3

similarity_search_by_vector

Returns the k most similar documents to the given embedding vector

similarity_search_by_vector(
  self,
  embedding: List[float],
  k: int = 4,
  **kwargs: Any = {}
) -> List[Document]

Parameters

Name	Type	Description
`embedding`*	`List[float]`	The embedding vector to search for
`k`	`int`	Default:`4` The number of similar documents to return