diff --git a/apps/docs/docs/getting_started/starter_tutorial/retrieval_augmented_generation.mdx b/apps/docs/docs/getting_started/starter_tutorial/retrieval_augmented_generation.mdx
index 599960c1f9809a5f1fb064f1525d030611d2ee47..a618c83e00357bb4ceffac9b30ed650017550ebc 100644
--- a/apps/docs/docs/getting_started/starter_tutorial/retrieval_augmented_generation.mdx
+++ b/apps/docs/docs/getting_started/starter_tutorial/retrieval_augmented_generation.mdx
@@ -10,21 +10,19 @@ import TSConfigSource from "!!raw-loader!../../../../../examples/tsconfig.json";
 
 One of the most common use-cases for LlamaIndex is Retrieval-Augmented Generation or RAG, in which your data is indexed and selectively retrieved to be given to an LLM as source material for responding to a query. You can learn more about the [concepts behind RAG](../concepts).
 
-## Before you start
+## Set up the project
 
-Make sure you have installed LlamaIndex.TS and have an OpenAI key. If you haven't, check out the [installation](../installation) steps.
-
-You can use [other LLMs](../examples/other_llms) via their APIs; if you would prefer to use local models check out our [local LLM example](../../examples/local_llm).
-
-## Set up
-
-In a new folder:
+In a new folder, run:
 
 ```bash npm2yarn
 npm init
 npm install -D typescript @types/node
 ```
 
+Then, check out the [installation](../installation) steps to install LlamaIndex.TS and prepare an OpenAI key.
+
+You can use [other LLMs](../examples/other_llms) via their APIs; if you would prefer to use local models check out our [local LLM example](../../examples/local_llm).
+
 ## Run queries
 
 Create the file `example.ts`. This code will