text: = "azure"openai.api_base = "YOUR_OPENAI_ENDPOINT"openai.api_version = "2023-05-15"openai.api_key = "YOUR_OPENAI_API_KEY"model: str = "text-embedding-ada-002"Configure vector store settingsâ€‹Set up the vector store settings using environment variables:vector_store_address: str = "YOUR_AZURE_SEARCH_ENDPOINT"vector_store_password: str = "YOUR_AZURE_SEARCH_ADMIN_KEY"index_name: str = "langchain-vector-demo"Create embeddings and vector store instancesâ€‹Create instances of the OpenAIEmbeddings and AzureSearch classes:embeddings: OpenAIEmbeddings = OpenAIEmbeddings(model=model, chunk_size=1)vector_store: AzureSearch = AzureSearch(    azure_search_endpoint=vector_store_address,    azure_search_key=vector_store_password,    index_name=index_name,    embedding_function=embeddings.embed_query,)Insert text and embeddings into vector storeâ€‹Add texts and metadata from the JSON data to the vector store:from langchain.document_loaders import TextLoaderfrom langchain.text_splitter import CharacterTextSplitterloader = TextLoader("../../../state_of_the_union.txt", encoding="utf-8")documents = loader.load()text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)docs = text_splitter.split_documents(documents)vector_store.add_documents(documents=docs)Perform a vector similarity searchâ€‹Execute a pure vector similarity search using the similarity_search() method:# Perform a similarity searchdocs = vector_store.similarity_search(    query="What did the president say about Ketanji Brown Jackson",    k=3,    search_type="similarity",)print(docs[0].page_content)    Tonight. I call on the Senate to: Pass the Freedom