text: texts=texts,    pat=CLARIFAI_PAT,    number_of_docs=NUMBER_OF_DOCS,    metadatas=metadatas,)docs = clarifai_vector_db.similarity_search("I would love to see you")docs    [Document(page_content='I really enjoy spending time with you', metadata={'text': 'I really enjoy spending time with you', 'id': 0.0}),     Document(page_content='I went to the movies yesterday', metadata={'text': 'I went to the movies yesterday', 'id': 3.0}),     Document(page_content='zab', metadata={'page': '2'}),     Document(page_content='zab', metadata={'page': '2'})]From Documentsâ€‹Create a Clarifai vectorstore from a list of Documents. This section will upload each document with its respective metadata to a Clarifai Application. The Clarifai Application can then be used for semantic search to find relevant documents.loader = TextLoader("../../../state_of_the_union.txt")documents = loader.load()text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)docs = text_splitter.split_documents(documents)docs[:4]    [Document(page_content='Madam Speaker, Madam Vice President, our First Lady and Second Gentleman. Members of Congress and the Cabinet. Justices of the Supreme Court. My fellow Americans.  \n\nLast year COVID-19 kept us apart. This year we are finally together again. \n\nTonight, we meet as Democrats Republicans and Independents. But most importantly as Americans. \n\nWith a duty to one another to the American people to the Constitution. \n\nAnd with an unwavering resolve that freedom will always triumph over tyranny. \n\nSix days ago,