diff --git a/notebooks/rag/SwigMenu_Playwright_OpenAI_MongoDB.ipynb b/notebooks/rag/SwigMenu_Playwright_OpenAI_MongoDB.ipynb
index 7df39db4..622cc42f 100644
--- a/notebooks/rag/SwigMenu_Playwright_OpenAI_MongoDB.ipynb
+++ b/notebooks/rag/SwigMenu_Playwright_OpenAI_MongoDB.ipynb
@@ -27,7 +27,7 @@
       "source": [
         "## Overview\n",
         "\n",
-        "In this tutorial we are going to scrape the popular Utah \"dirty\" soda website, Swig, using Playwright, then we are going to feed in our drinks into OpenAI using a prompt and their structured outputs to understand which drinks from their menu are best for various seasons with reasonings, and then save this information into MongoDB Atlas so we can use Atlas Search to find specific drinks based on the fall season and ingredients we are craving."
+        "In this tutorial we are going to scrape the popular Utah \"dirty\" soda website, Swig, using Playwright, then we are going to feed in our drinks into OpenAI using a prompt and their structured outputs to understand which drinks from their menu are best for various seasons with reasonings, and then save this information into MongoDB Atlas so we can use MongoDB Search to find specific drinks based on the fall season and ingredients we are craving."
       ]
     },
     {
@@ -906,7 +906,7 @@
         "id": "rp_xZtC4DSXp"
       },
       "source": [
-        "Now that our drinks with their reasonings are printed out nicely, let's upload them into MongoDB Atlas so we can use Atlas Search and take a look at drinks based off their ingredients!"
+        "Now that our drinks with their reasonings are printed out nicely, let's upload them into MongoDB Atlas so we can use MongoDB Search and take a look at drinks based off their ingredients!"
       ]
     },
     {
@@ -915,7 +915,7 @@
         "id": "uObYzbmu_Mjd"
       },
       "source": [
-        "## Step 3: Store into MongoDB and use Atlas Search"
+        "## Step 3: Store into MongoDB and use MongoDB Search"
       ]
     },
     {
@@ -1030,7 +1030,7 @@
         "id": "wFUitWvnFb4Z"
       },
       "source": [
-        "Create an Atlas Search index on your collection\n",
+        "Create a MongoDB Search index on your collection\n",
         "and create an aggregation pipeline. We are using the operator $search.\n",
         "\n",
         "Do NOT run this part in your notebook. This is done in the Atlas UI.\n",