diff --git a/docs/extras/modules/model_io/output_parsers/pydantic.ipynb b/docs/extras/modules/model_io/output_parsers/pydantic.ipynb
index 14137fc2d66..d72ed8cf23d 100644
--- a/docs/extras/modules/model_io/output_parsers/pydantic.ipynb
+++ b/docs/extras/modules/model_io/output_parsers/pydantic.ipynb
@@ -13,22 +13,6 @@
     "Use Pydantic to declare your data model. Pydantic's BaseModel is like a Python dataclass, but with actual type checking + coercion."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "b322c447",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain.prompts import (\n",
-    "    PromptTemplate,\n",
-    "    ChatPromptTemplate,\n",
-    "    HumanMessagePromptTemplate,\n",
-    ")\n",
-    "from langchain.llms import OpenAI\n",
-    "from langchain.chat_models import ChatOpenAI"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -36,9 +20,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "from typing import List\n",
+    "\n",
+    "from langchain.llms import OpenAI\n",
     "from langchain.output_parsers import PydanticOutputParser\n",
-    "from pydantic import BaseModel, Field, validator\n",
-    "from typing import List"
+    "from langchain.prompts import PromptTemplate\n",
+    "from langchain.pydantic_v1 import BaseModel, Field, validator"
    ]
   },
   {