diff --git a/lab-agent-vector-store.ipynb b/lab-agent-vector-store.ipynb
index c0f762e..50b16dc 100644
--- a/lab-agent-vector-store.ipynb
+++ b/lab-agent-vector-store.ipynb
@@ -34,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "12df91e0-7322-43c2-96cd-0159d017a1e1",
    "metadata": {
     "tags": []
@@ -46,18 +46,55 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
+   "id": "19192a67",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1.3.13\n"
+     ]
+    }
+   ],
+   "source": [
+    "import langchain\n",
+    "print(langchain.__version__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "371e79ec",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_core.prompts import ChatPromptTemplate\n",
+    "from langchain_core.runnables import RunnablePassthrough\n",
+    "from langchain_core.output_parsers import StrOutputParser\n",
+    "from langchain_openai import ChatOpenAI"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "id": "2868cff1-a3ef-426f-b8d7-7fe89047a5b7",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "from langchain.chains import RetrievalQA\n",
-    "from langchain_community.vectorstores import Chroma\n",
-    "from langchain_openai import OpenAI, OpenAIEmbeddings\n",
-    "from langchain_text_splitters import CharacterTextSplitter\n",
-    "from langchain_community.document_loaders import TextLoader"
+    "# The following are lod version and instead I used the above cell\n",
+    "# from langchain.chains import RetrievalQA        \n",
+    "\n",
+    "# from langchain.chains import create_retrieval_chain\n",
+    "# from langchain.chains.combine_documents import create_stuff_documents_chain\n",
+    "\n",
+    "# from langchain_community.vectorstores import Chroma\n",
+    "# from langchain_openai import OpenAI, OpenAIEmbeddings\n",
+    "# from langchain_text_splitters import CharacterTextSplitter\n",
+    "# from langchain_community.document_loaders import TextLoader"
    ]
   },
   {
@@ -70,10 +107,11 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "from dotenv import load_dotenv, find_dotenv\n",
-    "_ = load_dotenv(find_dotenv())\n",
+    "from langchain_community.llms import OpenAI     # give your pth for the OpenAI key file at below\n",
+    "with open(r'D:\\edu_laptop\\Ironhack_AI_&_DataScience\\OpenAI_key.txt', 'r') as file:\n",
+    "    OPENAI_API_KEY = file.read().strip()\n",
     "\n",
-    "OPENAI_API_KEY  = os.getenv('OPENAI_API_KEY')"
+    "os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY"
    ]
   },
   {
@@ -89,7 +127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 38,
    "id": "14331eec-fd46-42e0-b6e7-adaf21824ef7",
    "metadata": {
     "tags": []
@@ -101,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 39,
    "id": "0b7b772b",
    "metadata": {
     "tags": []
@@ -120,13 +158,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 43,
    "id": "f2675861",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "RuntimeError",
+     "evalue": "Error loading d:\\edu_laptop\\Ironhack_AI_&_DataScience\\Months3-5\\week34\\Thursday\\lab-agent-vector-store\\state_of_the_union.txt",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mUnicodeDecodeError\u001b[39m                        Traceback (most recent call last)",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\ASUS\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\langchain_community\\document_loaders\\text.py:43\u001b[39m, in \u001b[36mTextLoader.lazy_load\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m     42\u001b[39m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(\u001b[38;5;28mself\u001b[39m.file_path, encoding=\u001b[38;5;28mself\u001b[39m.encoding) \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[32m---> \u001b[39m\u001b[32m43\u001b[39m         text = \u001b[43mf\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m     44\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mUnicodeDecodeError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\ASUS\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\encodings\\cp1252.py:23\u001b[39m, in \u001b[36mIncrementalDecoder.decode\u001b[39m\u001b[34m(self, input, final)\u001b[39m\n\u001b[32m     22\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mdecode\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;28minput\u001b[39m, final=\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[32m---> \u001b[39m\u001b[32m23\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m codecs.charmap_decode(\u001b[38;5;28minput\u001b[39m,\u001b[38;5;28mself\u001b[39m.errors,decoding_table)[\u001b[32m0\u001b[39m]\n",
+      "\u001b[31mUnicodeDecodeError\u001b[39m: 'charmap' codec can't decode byte 0x9d in position 1225: character maps to <undefined>",
+      "\nThe above exception was the direct cause of the following exception:\n",
+      "\u001b[31mRuntimeError\u001b[39m                              Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[43]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m      1\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mlangchain_community\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mdocument_loaders\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m TextLoader\n\u001b[32m      2\u001b[39m loader = TextLoader(doc_path)\n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m documents = \u001b[43mloader\u001b[49m\u001b[43m.\u001b[49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m      4\u001b[39m text_splitter = CharacterTextSplitter(chunk_size=\u001b[32m1000\u001b[39m, chunk_overlap=\u001b[32m0\u001b[39m)\n\u001b[32m      5\u001b[39m texts = text_splitter.split_documents(documents)\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\ASUS\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\langchain_core\\document_loaders\\base.py:43\u001b[39m, in \u001b[36mBaseLoader.load\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m     37\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mload\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> \u001b[38;5;28mlist\u001b[39m[Document]:\n\u001b[32m     38\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33;03m\"\"\"Load data into `Document` objects.\u001b[39;00m\n\u001b[32m     39\u001b[39m \n\u001b[32m     40\u001b[39m \u001b[33;03m    Returns:\u001b[39;00m\n\u001b[32m     41\u001b[39m \u001b[33;03m        The documents.\u001b[39;00m\n\u001b[32m     42\u001b[39m \u001b[33;03m    \"\"\"\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m43\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mlazy_load\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\ASUS\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\langchain_community\\document_loaders\\text.py:56\u001b[39m, in \u001b[36mTextLoader.lazy_load\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m     54\u001b[39m                 \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[32m     55\u001b[39m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m---> \u001b[39m\u001b[32m56\u001b[39m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mError loading \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m.file_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01me\u001b[39;00m\n\u001b[32m     57\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m     58\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mError loading \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m.file_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01me\u001b[39;00m\n",
+      "\u001b[31mRuntimeError\u001b[39m: Error loading d:\\edu_laptop\\Ironhack_AI_&_DataScience\\Months3-5\\week34\\Thursday\\lab-agent-vector-store\\state_of_the_union.txt"
+     ]
+    }
+   ],
    "source": [
+    "from langchain_community.document_loaders import TextLoader\n",
     "loader = TextLoader(doc_path)\n",
     "documents = loader.load()\n",
     "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
@@ -602,7 +660,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -616,7 +674,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,