Ask a question to get started
Enter to sendā¢Shift+Enter new line
Return documents most similar to the given embedding vector asynchronously.
Wraps asimilarity_search_by_vector_with_score but strips the scores.
asimilarity_search_by_vector_with_score
asimilarity_search_by_vector( self, embedding: List[float], k: int = 4, **kwargs: Any = {} ) -> List[Document]
