Method●Since v0.3

similarity_search_by_vector

Perform a similarity search with Yellowbrick by vectors

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

Parameters

Name	Type	Description
`embedding`*	`List[float]`	query embedding
`k`	`int`	Default:`4` Top K neighbors to retrieve. Defaults to 4.
`NOTE`*	`unknown`	Please do not let end-user fill this and always be aware of SQL injection.