text: Here are the installation instructions.pip install pinecone-client openai tiktokenimport osimport getpassPINECONE_API_KEY = getpass.getpass("Pinecone API Key:")PINECONE_ENV = getpass.getpass("Pinecone Environment:")We want to use OpenAIEmbeddings so we have to get the OpenAI API Key.os.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:")from langchain.embeddings.openai import OpenAIEmbeddingsfrom langchain.text_splitter import CharacterTextSplitterfrom langchain.vectorstores import Pineconefrom 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()import pinecone# initialize pineconepinecone.init(    api_key=PINECONE_API_KEY,  # find at app.pinecone.io    environment=PINECONE_ENV,  # next to api key in console)index_name = "langchain-demo"docsearch = Pinecone.from_documents(docs, embeddings, index_name=index_name)# if you already have an index, you can load it like this# docsearch = Pinecone.from_existing_index(index_name, embeddings)query = "What did the president say about Ketanji Brown Jackson"docs = docsearch.similarity_search(query)print(docs[0].page_content)Adding More Text to an Existing Indexâ€‹More text can embedded and upserted to an existing Pinecone index using the add_texts functionindex = pinecone.Index("langchain-demo")vectorstore = Pinecone(index, embeddings.embed_query, "text")vectorstore.add_texts("More text!")Maximal Marginal Relevance