diff --git a/README.md b/README.md
index 59ae1e2..2f16670 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
 
 <img src="./packages/webapp/public/favicon.png" alt="" align="center" height="64" />
 
-# Serverless ChatGPT with RAG using LangChain.js
+# Serverless Chat with RAG using LangChain.js
 
 [![Open project in GitHub Codespaces](https://img.shields.io/badge/Codespaces-Open-blue?style=flat-square&logo=github)](https://codespaces.new/Azure-Samples/serverless-chat-langchainjs?hide_repo_select=true&ref=main&quickstart=true)
 [![dev.to blog post walkthrough](https://img.shields.io/badge/Blog%20post-black?style=flat-square&logo=dev.to)](https://dev.to/azure/build-a-serverless-chatgpt-with-rag-using-langchainjs-3487)
@@ -23,7 +23,7 @@
 
 </div>
 
-This sample shows how to build a serverless ChatGPT-like experience with Retrieval-Augmented Generation using [LangChain.js](https://js.langchain.com/) and Azure. The application is hosted on [Azure Static Web Apps](https://learn.microsoft.com/azure/static-web-apps/overview) and [Azure Functions](https://learn.microsoft.com/azure/azure-functions/functions-overview?pivots=programming-language-javascript), with [Azure Cosmos DB for MongoDB vCore](https://learn.microsoft.com/azure/cosmos-db/mongodb/vcore/) as the vector database. You can use it as a starting point for building more complex AI applications.
+This sample shows how to build a serverless chat experience with Retrieval-Augmented Generation using [LangChain.js](https://js.langchain.com/) and Azure. The application is hosted on [Azure Static Web Apps](https://learn.microsoft.com/azure/static-web-apps/overview) and [Azure Functions](https://learn.microsoft.com/azure/azure-functions/functions-overview?pivots=programming-language-javascript), with [Azure Cosmos DB for MongoDB vCore](https://learn.microsoft.com/azure/cosmos-db/mongodb/vcore/) as the vector database. You can use it as a starting point for building more complex AI applications.
 
 > [!TIP]
 > You can test this application locally without any cost using [Ollama](https://ollama.com/). Follow the instructions in the [Local Development](#local-development) section to get started.
@@ -196,8 +196,8 @@ Here are some resources to learn more about the technologies used in this sample
 - [Azure OpenAI Service](https://learn.microsoft.com/azure/ai-services/openai/overview)
 - [Azure Cosmos DB for MongoDB vCore](https://learn.microsoft.com/azure/cosmos-db/mongodb/vcore/)
 - [Ask YouTube: LangChain.js + Azure Quickstart sample](https://github.com/Azure-Samples/langchainjs-quickstart-demo)
-- [ChatGPT + Enterprise data with Azure OpenAI and Azure AI Search](https://github.com/Azure-Samples/azure-search-openai-javascript)
-- [Revolutionize your Enterprise Data with ChatGPT: Next-gen Apps w/ Azure OpenAI and AI Search](https://aka.ms/entgptsearchblog)
+- [Chat + Enterprise data with Azure OpenAI and Azure AI Search](https://github.com/Azure-Samples/azure-search-openai-javascript)
+- [Revolutionize your Enterprise Data with Chat: Next-gen Apps w/ Azure OpenAI and AI Search](https://aka.ms/entgptsearchblog)
 
 You can also find [more Azure AI samples here](https://github.com/Azure-Samples/azureai-samples).