text: Click here to fast deploy a Hologres cloud instance.#!pip install psycopg2from langchain.embeddings.openai import OpenAIEmbeddingsfrom langchain.text_splitter import CharacterTextSplitterfrom langchain.vectorstores import HologresSplit documents and get embeddings by call OpenAI APIfrom langchain.document_loaders import TextLoaderloader = TextLoader("../../../state_of_the_union.txt")documents = loader.load()text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)docs = text_splitter.split_documents(documents)embeddings = OpenAIEmbeddings()Connect to Hologres by setting related ENVIRONMENTS.export PG_HOST={host}export PG_PORT={port} # Optional, default is 80export PG_DATABASE={db_name} # Optional, default is postgresexport PG_USER={username}export PG_PASSWORD={password}Then store your embeddings and documents into Hologresimport osconnection_string = Hologres.connection_string_from_db_params(    host=os.environ.get("PGHOST", "localhost"),    port=int(os.environ.get("PGPORT", "80")),    database=os.environ.get("PGDATABASE", "postgres"),    user=os.environ.get("PGUSER", "postgres"),    password=os.environ.get("PGPASSWORD", "postgres"),)vector_db = Hologres.from_documents(    docs,    embeddings,    connection_string=connection_string,    table_name="langchain_example_embeddings",)Query and retrieve dataquery = "What did the president say about Ketanji Brown Jackson"docs = vector_db.similarity_search(query)print(docs[0].page_content)    Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while youâ€™re at it, pass the Disclose Act so Americans can know who is funding