diff --git a/llmflowoptimizer/component/model/sample_qa.py b/llmflowoptimizer/component/model/sample_qa.py
index 2df73a3..5b33055 100644
--- a/llmflowoptimizer/component/model/sample_qa.py
+++ b/llmflowoptimizer/component/model/sample_qa.py
@@ -26,7 +26,6 @@ def __init__(
         self.text_splitter = text_splitter
         self.text_loader = TextLoader(data_path)
         self.llm = llm
-        # embedding should not be on __init__ for testing, because it call embedding function and it might need api-key.
         self.index = VectorstoreIndexCreator(
             embedding=self.embedding, text_splitter=self.text_splitter
         ).from_loaders([self.text_loader])
diff --git a/notebooks/LLMFlowOptimizer_tutorial_notebook.ipynb b/notebooks/LLMFlowOptimizer_tutorial_notebook.ipynb
index 23fce3e..cf0b295 100644
--- a/notebooks/LLMFlowOptimizer_tutorial_notebook.ipynb
+++ b/notebooks/LLMFlowOptimizer_tutorial_notebook.ipynb
@@ -5,9 +5,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# This is tutorial notebook for LLMFlowOptimizer\n",
+    "# This is colab tutorial notebook for LLMFlowOptimizer\n",
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Yongtae723/LLMFlowOptimizer/blob/main/notebooks/LLMFlowOptimizer_tutorial_notebook.ipynb)\n",
+    "\n",
     "LLMFlowOptimizer is made for treating component of LLMFlow as parameter and optimizing the parameters.\n",
     "\n",
+    "\n",
     "![concept_image](https://github.com/Yongtae723/LLMFlowOptimizer/blob/main/documents/image/concept.png?raw=true)\n",
     "\n",
     "We assume LLMFlowOptimizer is used as repository scale, but you can experience flow and concept of LLMFlowOptimizer in this notebook. "
@@ -101,7 +104,6 @@
     "        self.text_splitter = text_splitter\n",
     "        self.text_loader = TextLoader(data_path)\n",
     "        self.llm = llm\n",
-    "        # embedding should not be on __init__ for testing, because it call embedding function and it might need api-key.\n",
     "        self.index = VectorstoreIndexCreator(\n",
     "            embedding=self.embedding, text_splitter=self.text_splitter\n",
     "        ).from_loaders([self.text_loader])\n",
@@ -221,7 +223,7 @@
     "\n",
     "\n",
     "def load_hydra_config():\n",
-    "    with initialize(version_base=\"1.3\", config_path=\"../configs\"):\n",
+    "    with initialize(version_base=\"1.3\", config_path=\"configs\"):\n",
     "        cfg = compose(config_name=\"run.yaml\", return_hydra_config=True, overrides=[])\n",
     "        with open_dict(cfg):\n",
     "            cfg.paths.root = str(rootutils.find_root(indicator=\".project-root\"))\n",
@@ -451,8 +453,8 @@
    "source": [
     "# If you like this project💖\n",
     "\n",
-    "if you like this project, you can use this project as a template for your own project.\n",
-    "Push `Use this template` button on the top of this repo, then you can create your own project based on this project."
+    "if you like this project, you can use [this project](https://github.com/Yongtae723/LLMFlowOptimizer/blob/main/notebooks/tutorial_notebook.ipynb) as a template for your own project.\n",
+    "Push `Use this template` button on the top of [this repo](https://github.com/Yongtae723/LLMFlowOptimizer/blob/main/notebooks/tutorial_notebook.ipynb), then you can create your own project based on this project."
    ]
   },
   {