diff --git a/docs/Getting Started.ipynb b/docs/Getting Started.ipynb
index d414eb31..8a537b8b 100644
--- a/docs/Getting Started.ipynb	
+++ b/docs/Getting Started.ipynb	
@@ -126,14 +126,15 @@
     "### Load the Embedding Model Weights\n",
     "Next, initialize the Embedding class with the desired parameters. Here, \"BAAI/bge-small-en\" is the pre-trained model name, and max_length=512 is the maximum token length for each document.\n",
     "\n",
+    "#### 💡 Tip\n",
     "A model from the same family is also our Default Model, so you can also initialize the DefaultEmbedding class without any parameters:\n",
-    "\n",
     "```python\n",
     "from fastembed import DefaultEmbedding\n",
     "embedding_model = DefaultEmbedding()\n",
     "```\n",
+    "This will download the model weights, decompress to directory `local_cache` and load them into the Embedding class.\n",
     "\n",
-    "This will download the model weights, decompress to directory `local_cache` and load them into the Embedding class."
+    "#### Initialize FlagEmbedding"
    ]
   },
   {
@@ -143,7 +144,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Initialize the DefaultEmbedding class with the desired parameters\n",
+    "# Initialize the FlagEmbedding class with the desired parameters\n",
     "embedding_model = Embedding(model_name=\"BAAI/bge-small-en\", max_length=512)"
    ]
   },