diff --git a/site/en/gemini-api/tutorials/clustering_with_embeddings.ipynb b/site/en/gemini-api/tutorials/clustering_with_embeddings.ipynb
index 65c49e435..6e6d935a8 100644
--- a/site/en/gemini-api/tutorials/clustering_with_embeddings.ipynb
+++ b/site/en/gemini-api/tutorials/clustering_with_embeddings.ipynb
@@ -69,7 +69,7 @@
         "\n",
         "This tutorial demonstrates how to visualize and perform clustering with the embeddings from the Gemini API. You will visualize a subset of the 20 Newsgroup dataset using [t-SNE](https://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html){:.external} and cluster that subset using the KMeans algorithm.\n",
         "\n",
-        "For more information on getting started with embeddings generated from the Gemini API, check out the [Python quickstart](../tutorials/python_quickstart.ipynb#use_embeddings).\n",
+        "For more information on getting started with embeddings generated from the Gemini API, check out the [Python quickstart](https://ai.google.dev/gemini-api/docs/get-started/python#use_embeddings).\n",
         "\n",
         "## Prerequisites\n",
         "\n",
@@ -165,7 +165,7 @@
       "source": [
         "Key Point: Next, you will choose a model. Any embedding model will work for this tutorial, but for real applications it's important to choose a specific model and stick with it. The outputs of different models are not compatible with each other.\n",
         "\n",
-        "**Note**: At this time, the Gemini API is [only available in certain regions](https://developers.generativeai.google/available_regions)."
+        "**Note**: At this time, the Gemini API is [only available in certain regions](https://ai.google.dev/gemini-api/docs/available-regions)."
       ]
     },
     {
@@ -2857,7 +2857,7 @@
         "\n",
         "There are other clustering algorithms outside of KMeans as well, such as [density-based spatial clustering (DBSCAN)](https://scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html){:.external}.\n",
         "\n",
-        "To learn how to use other services in the Gemini API, visit the [Python quickstart](../tutorials/python_quickstart.ipynb). To learn more about how you can use the embeddings, check out the [examples](../examples?keywords=embed) available. To learn how to create them from scratch, see TensorFlow's [Word Embeddings](https://www.tensorflow.org/text/guide/word_embeddings){:.external} tutorial."
+        "To learn how to use other services in the Gemini API, visit the [Python quickstart](https://ai.google.dev/gemini-api/docs/get-started/python). To learn more about how you can use the embeddings, check out the [examples](../examples?keywords=embed) available. To learn how to create them from scratch, see TensorFlow's [Word Embeddings](https://www.tensorflow.org/text/guide/word_embeddings){:.external} tutorial."
       ]
     }
   ],