Faiss search error about langflow HOT 2 OPEN

def build(
    self,
    input_value: Text,
    embedding: Embeddings,
    folder_path: str,
    number_of_results: int = 4,
    index_name: str = "langflow_index",
    allow_dangerous_deserialization: bool = False  # Add this parameter
) -> List[Record]:
    if not folder_path:
        raise ValueError("Folder path is required to save the FAISS index.")
    path = self.resolve_path(folder_path)
    vector_store = FAISS.load_local(
        folder_path=Text(path),
        embeddings=embedding,
        index_name=index_name,
        allow_dangerous_deserialization=allow_dangerous_deserialization  # Pass it here
    )
    if not vector_store:
        raise ValueError("Failed to load the FAISS index.")

    return self.search_with_vector_store(
        vector_store=vector_store, input_value=input_value, search_type="similarity", k=number_of_results
    )