diff --git a/docs/extras/modules/model_io/models/llms/integrations/azure_openai_example.ipynb b/docs/extras/modules/model_io/models/llms/integrations/azure_openai_example.ipynb
index f11aba76dc0..2f3aa1c2ae4 100644
--- a/docs/extras/modules/model_io/models/llms/integrations/azure_openai_example.ipynb
+++ b/docs/extras/modules/model_io/models/llms/integrations/azure_openai_example.ipynb
@@ -36,6 +36,8 @@
     "## Deployments\n",
     "With Azure OpenAI, you set up your own deployments of the common GPT-3 and Codex models.  When calling the API, you need to specify the deployment you want to use.\n",
     "\n",
+    "_**Note**: These docs are for the Azure text completion models. Models like GPT-4 are chat models. They have a slightly different interface, and can be accessed via the `AzureChatOpenAI` class. For docs on Azure chat see [Azure Chat OpenAI documentation](/docs/modules/model_io/models/chat/integrations/azure_chat_openai)._\n",
+    "\n",
     "Let's say your deployment name is `text-davinci-002-prod`.  In the `openai` Python API, you can specify this deployment with the `engine` parameter.  For example:\n",
     "\n",
     "```python\n",
@@ -176,7 +178,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.11.3"
   },
   "vscode": {
    "interpreter": {