Ask a question to get started
Enter to sendā¢Shift+Enter new line
Perform retrieval directly using vectors. Args: embedding: vectors. k: top n. search_filter: Additional filtering conditions. Returns: document_list: List of documents.
similarity_search_by_vector( self, embedding: List[float], k: int = 4, search_filter: Optional[dict] = None, **kwargs: Any = {} ) -> List[Document]
