Ask a question to get started
Enter to sendā¢Shift+Enter new line
Run similarity search on query embedding
similarity_search_by_vector( self, embedding: List[float], k: int = DEFAULT_K, *, filter: Optional[Dict[str, str]] = None, **kwargs: Any = {} ) -> List[Document]
embedding
List[float]
Query embedding
k
int
DEFAULT_K
Number of results to return. Defaults to 4.
filter
Optional[Dict[str, str]]
None
Filter by metadata. Defaults to None.
