text: https://username:password@cluster_id.region_id.gcp.cloud.es.io:9243.Example:        from langchain import ElasticVectorSearch        from langchain.embeddings import OpenAIEmbeddings        embedding = OpenAIEmbeddings()        elastic_host = "cluster_id.region_id.gcp.cloud.es.io"        elasticsearch_url = f"https://username:password@{elastic_host}:9243"        elastic_vector_search = ElasticVectorSearch(            elasticsearch_url=elasticsearch_url,            index_name="test_index",            embedding=embedding        )pip install elasticsearchimport osimport getpassos.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:")    OpenAI API Key: Â·Â·Â·Â·Â·Â·Â·Â·Exampleâ€‹from langchain.embeddings.openai import OpenAIEmbeddingsfrom langchain.text_splitter import CharacterTextSplitterfrom langchain.vectorstores import ElasticVectorSearchfrom langchain.document_loaders import TextLoaderfrom 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()db = ElasticVectorSearch.from_documents(    docs, embeddings, elasticsearch_url="http://localhost:9200")query = "What did the president say about Ketanji Brown Jackson"docs =