diff --git a/demo-python/code/integrated-vectorization/azure-search-integrated-vectorization-sample.ipynb b/demo-python/code/integrated-vectorization/azure-search-integrated-vectorization-sample.ipynb
index 4de3d2d..c1fb13c 100644
--- a/demo-python/code/integrated-vectorization/azure-search-integrated-vectorization-sample.ipynb
+++ b/demo-python/code/integrated-vectorization/azure-search-integrated-vectorization-sample.ipynb
@@ -19,7 +19,7 @@
     " \n",
     "+ Azure AI Search, any tier, but we recommend Basic or higher for this workload. [Enable semantic ranker](https://learn.microsoft.com/azure/search/semantic-how-to-enable-disable) if you want to run a hybrid query with semantic ranking.\n",
     "\n",
-    "+ A deployment of the `text-embedding-ada-002` model on Azure OpenAI.\n",
+    "+ A deployment of the `text-embedding-3-large` model on Azure OpenAI.\n",
     "\n",
     "+ Azure Blob Storage. This notebook connects to your storage account and loads a container with the sample PDFs.\n"
    ]