import fs from"node:fs/promises"; import{ Document, VectorStoreIndex }from"llamaindex"; asyncfunctionmain(){ // Load essay from abramov.txt in Node const path ="node_modules/llamaindex/examples/abramov.txt"; const essay =await fs.readFile(path,"utf-8"); // Create Document object with essay const document =newDocument({ text: essay, id_: path }); // Split text and create embeddings. Store them in a VectorStoreIndex const index =await VectorStoreIndex.fromDocuments([document]); // Query the index const queryEngine = index.asQueryEngine(); const response =await queryEngine.query({ query:"What did the author do in college?", }); // Output response console.log(response.toString()); } main().catch(console.error);