diff --git a/notebooks/tutorials/adalflow_rag_optimization.ipynb b/notebooks/tutorials/adalflow_rag_optimization.ipynb
index a0f00d6e..b9365680 100644
--- a/notebooks/tutorials/adalflow_rag_optimization.ipynb
+++ b/notebooks/tutorials/adalflow_rag_optimization.ipynb
@@ -5,6 +5,9 @@
       "metadata": {
         "id": "xHF95Kr4CzGq"
       },
+      "metadata": {
+        "id": "xHF95Kr4CzGq"
+      },
       "source": [
         "# 🤗 Welcome to AdalFlow!\n",
         "## The PyTorch library to auto-optimize any LLM task pipelines\n",
@@ -34,6 +37,7 @@
         "\n",
         "- Learn how to connect the output-input between components to enable auto-text-grad optimization."
       ]
+      ]
     },
     "id": "ONfzF9Puzdd_",
     "outputId": "5fc0cd30-9ae7-443a-c06c-31e9edeafd69"
@@ -46,6 +50,9 @@
       "metadata": {
         "id": "Kof5M6DRaKhh"
       },
+      "metadata": {
+        "id": "Kof5M6DRaKhh"
+      },
       "source": [
         "\n",
         "# Installation\n",
@@ -59,6 +66,7 @@
         "\n",
         "You can choose to use different client. You can import the model client you prefer. We support `Anthropic`, `Cohere`, `Google`, `GROQ`, `OpenAI`, `Transformer` and more in development. We will use OpenAI here as an example.Please refer to our [full installation guide](https://adalflow.sylph.ai/get_started/installation.html)"
       ]
+      ]
     },
     {
       "cell_type": "code",
@@ -76,6 +84,9 @@
         "!pip uninstall httpx anyio -y\n",
         "!pip install \"anyio>=3.1.0,<4.0\"\n",
         "!pip install httpx==0.24.1\n",
+        "!pip uninstall httpx anyio -y\n",
+        "!pip install \"anyio>=3.1.0,<4.0\"\n",
+        "!pip install httpx==0.24.1\n",
         "clear_output()"
       ]
     },
@@ -84,6 +95,9 @@
       "metadata": {
         "id": "KapUyHMM07pJ"
       },
+      "metadata": {
+        "id": "KapUyHMM07pJ"
+      },
       "source": [
         "## Set Environment Variables\n",
         "\n",
@@ -93,6 +107,7 @@
         "\n",
         "*Go to [OpenAI](https://platform.openai.com/docs/introduction) to get API keys if you don't already have.*"
       ]
+      ]
     },
     {
       "cell_type": "code",
@@ -114,6 +129,24 @@
           ]
         }
       ],
+      "execution_count": 3,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "ONfzF9Puzdd_",
+        "outputId": "5fc0cd30-9ae7-443a-c06c-31e9edeafd69"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Please enter your OpenAI API key: ··········\n",
+            "API keys have been set.\n"
+          ]
+        }
+      ],
       "source": [
         "import os\n",
         "\n",
@@ -136,6 +169,11 @@
         "id": "aE3I05BqOmd7"
       },
       "outputs": [],
+      "execution_count": 20,
+      "metadata": {
+        "id": "aE3I05BqOmd7"
+      },
+      "outputs": [],
       "source": [
         "import dspy\n",
         "import re\n",
@@ -151,6 +189,7 @@
         "from adalflow.core.component import fun_to_component\n",
         "from adalflow.components.model_client.openai_client import OpenAIClient"
       ]
+      ]
     },
     {
       "cell_type": "code",
@@ -159,6 +198,11 @@
         "id": "cqUUoua9fUxQ"
       },
       "outputs": [],
+      "execution_count": null,
+      "metadata": {
+        "id": "cqUUoua9fUxQ"
+      },
+      "outputs": [],
       "source": [
         "\n",
         "gpt_4o_model = {\n",
@@ -177,6 +221,7 @@
         "    },\n",
         "}"
       ]
+      ]
     },
     {
       "cell_type": "code",
@@ -207,6 +252,33 @@
           "output_type": "execute_result"
         }
       ],
+      "execution_count": 22,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "0irHeHUkOmL8",
+        "outputId": "61f778a2-9ec1-4fda-daa2-bcc7f31baa78"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "HotPotQAData(id='5a8b57f25542995d1e6f1371', question='Were Scott Derrickson and Ed Wood of the same nationality?', answer='yes', gold_titles=\"{'Scott Derrickson', 'Ed Wood'}\") <class 'adalflow.datasets.types.HotPotQAData'>\n"
+          ]
+        },
+        {
+          "data": {
+            "text/plain": [
+              "HotPotQAData(id='5a8b57f25542995d1e6f1371', question='Were Scott Derrickson and Ed Wood of the same nationality?', answer='yes', gold_titles=\"{'Scott Derrickson', 'Ed Wood'}\")"
+            ]
+          },
+          "execution_count": 22,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
       "source": [
         "def load_datasets():\n",
         "\n",
@@ -242,6 +314,11 @@
         "id": "ZZIEtZYHNVjo"
       },
       "outputs": [],
+      "execution_count": 23,
+      "metadata": {
+        "id": "ZZIEtZYHNVjo"
+      },
+      "outputs": [],
       "source": [
         "class DspyRetriever(adal.Retriever):\n",
         "    def __init__(self, top_k: int = 3):\n",