max_marginal_relevance_search_by_vector

max_marginal_relevance_search_by_vector(
  self,
  embedding: list[float],
  k: int = 4,

Parameters

Name	Type	Description
`embedding`*	`list[float]`	Embedding to look up documents similar to
`k`	`int`	Default:`4` Number of Documents to return
`fetch_k`	`int`	Default:`20` Number of Documents to fetch to pass to MMR algorithm.
`lambda_mult`	`float`	Default:`0.5`
`filter`	`dict[str, Any] \| None`	Default:`None`
`kwargs`	`Any`	Default:`{}`