diff --git a/README.md b/README.md
index eb045ec..8d8564d 100644
--- a/README.md
+++ b/README.md
@@ -1 +1 @@
-# knowledge-sidekick
+# langchain-quickstart
diff --git a/package.json b/package.json
index 578c444..fcbe1b9 100644
--- a/package.json
+++ b/package.json
@@ -1,5 +1,5 @@
 {
-  "name": "knowledge-sidekick",
+  "name": "langchain-quickstart",
   "packageManager": "yarn@4.1.0",
   "type": "module",
   "dependencies": {
diff --git a/src/index.js b/src/index.js
index 896c951..fd7b759 100644
--- a/src/index.js
+++ b/src/index.js
@@ -1,8 +1,7 @@
-import 'dotenv/config';
+import "dotenv/config";
 process.env.OPENAI_API_KEY;
 import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
-import { StringOutputParser } from "@langchain/core/output_parsers";
 import { MemoryVectorStore } from "langchain/vectorstores/memory";
 import { createRetrievalChain } from "langchain/chains/retrieval";
 import { createStuffDocumentsChain } from "langchain/chains/combine_documents";
@@ -11,9 +10,7 @@ import { CheerioWebBaseLoader } from "langchain/document_loaders/web/cheerio";
 import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
 
 const chatModel = new ChatOpenAI({});
-const loader = new CheerioWebBaseLoader(
-  "https://docs.smith.langchain.com/"
-);
+const loader = new CheerioWebBaseLoader("https://docs.smith.langchain.com/");
 
 const docs = await loader.load();
 
@@ -30,14 +27,15 @@ const vectorstore = await MemoryVectorStore.fromDocuments(
 
 const retriever = vectorstore.asRetriever();
 
-const prompt =
-  ChatPromptTemplate.fromTemplate(`Answer the following question based only on the provided context:
+const prompt = ChatPromptTemplate.fromTemplate(
+  `Answer the following question based only on the provided context:
 
 <context>
 {context}
 </context>
 
-Question: {input}`);
+Question: {input}`
+);
 
 const documentChain = await createStuffDocumentsChain({
   llm: chatModel,
@@ -49,19 +47,8 @@ const retrievalChain = await createRetrievalChain({
   retriever,
 });
 
-const outputParser = new StringOutputParser();
-
-// const prompt = ChatPromptTemplate.fromMessages([
-//   ["system", "You are an old farmer"],
-//   ["user", "{input}"],
-// ]);
-
-
-
-// const chain = prompt.pipe(chatModel).pipe(outputParser);
-
 const res = await retrievalChain.invoke({
   input: "What is langsmith",
 });
 
-console.log(res);
\ No newline at end of file
+console.log(res);