Return docs most similar to embedding vector.
similarity_search_by_vector(
self,
embedding: List[float],
k: int = 4,
filter: Optional[FilterExpression] = None,
sort_by: Optional[str] = None,
**kwargs: Any = {}
) -> List[Document]| Name | Type | Description |
|---|---|---|
embedding* | List[float] | Embedding to look up documents similar to. |
k | int | Default: 4Number of |
filter | Optional[FilterExpression] | Default: NoneOptional |
sort_by | Optional[str] | Default: NoneOptional |
**kwargs | Any | Default: {}Other keyword arguments. Common kwargs include:
|