from llama_index.core import SimpleDirectoryReader, VectorStoreIndex # Load data from a specified directory and file document = SimpleDirectoryReader(input_files=['/path/to/data.txt']).load_data() # Process data (chunking, embedding, indexing) and store them index = VectorStoreIndex.from_documents(document)