From 2778e3878b5f97c2ee61cd0c7d34321385c812be Mon Sep 17 00:00:00 2001
From: David Huntsperger <5672572+pcoet@users.noreply.github.com>
Date: Thu, 21 Mar 2024 08:06:48 -0700
Subject: [PATCH] Add H1 and intro back into Gemma+LangChain notebook (#318)

* add H1 and intro back in

* nbfmt
---
 site/en/gemma/docs/integrations/langchain.ipynb | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/site/en/gemma/docs/integrations/langchain.ipynb b/site/en/gemma/docs/integrations/langchain.ipynb
index 7e03a3a9a..1c7a23596 100644
--- a/site/en/gemma/docs/integrations/langchain.ipynb
+++ b/site/en/gemma/docs/integrations/langchain.ipynb
@@ -50,6 +50,19 @@
         "</table>"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "3acc8f3d1408"
+      },
+      "source": [
+        "# Get started with Gemma and LangChain\n",
+        "\n",
+        "This tutorial shows you how to get started with [Gemma](https://ai.google.dev/gemma/docs) and [LangChain](https://python.langchain.com/docs/get_started/introduction), running in Google Cloud or in your Colab environment. Gemma is a family of light-weight, state-of-the-art open models built from the same research and technology used to create the Gemini models. LangChain is a framework for building and deploying context-aware applications backed by language models.\n",
+        "\n",
+        "**Note:** This tutorial runs on A100 GPU in Google Colab. Free Colab hardware acceleration is *insufficient* to run all the code."
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {