Ask a question to get started
Enter to sendā¢Shift+Enter new line
Return docs most similar to embedding vector.
similarity_search_by_vector( self, embedding: List[float], k: int = 4, filter: Optional[dict] = 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, str]]
None
Filter by metadata. Defaults to None.
