diff --git a/tutorials/semantic_chunking.ipynb b/tutorials/semantic_chunking.ipynb
index 9c6b2c3..551d5a6 100644
--- a/tutorials/semantic_chunking.ipynb
+++ b/tutorials/semantic_chunking.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "**Semantic Chunking with Chonkie and Model2Vec**\n",
     "\n",
-    "Semantic chunking is a task of identifying the semantic boundaries of a piece of text. In this tutorial, we will use the [Chonkie](https://github.com/bhavnicksm/chonkie) library to perform semantic chunking on the book War & Peace. Chonkie is a library that provides a lightweight and fast solution to semantic chunking using pre-trained models. It supports our [potion models](https://huggingface.co/collections/minishlab/potion-6721e0abd4ea41881417f062) out of the box, which we will be using in this tutorial.\n",
+    "Semantic chunking is a task of identifying the semantic boundaries of a piece of text. In this tutorial, we will use the [Chonkie](https://github.com/bhavnicksm/chonkie) library to perform semantic chunking on the book War and Peace. Chonkie is a library that provides a lightweight and fast solution to semantic chunking using pre-trained models. It supports our [potion models](https://huggingface.co/collections/minishlab/potion-6721e0abd4ea41881417f062) out of the box, which we will be using in this tutorial.\n",
     "\n",
     "After chunking our text, we will be using [Vicinity](https://github.com/MinishLab/vicinity), a lightweight nearest neighbors library, to create an index of our chunks and query them."
    ]