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    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
     ]
    }
   ],
   "source": [
    "# Create vectorstore\n",
    "import pandas as pd\n",
    "from vectordatabase import load_documents\n",
    "from langchain_community.embeddings import HuggingFaceEmbeddings\n",
    "from langchain_community.vectorstores import FAISS\n",
    "\n",
    "\n",
    "df = pd.read_pickle(\"C:\\\\Users\\Tom\\SynologyDrive\\Tom\\Programming\\\\NLP\\Spaces\\PoliticsToYou\\src\\Speeches\\speeches_1949_09_12\")\n",
    "# Split speeches into documents\n",
    "documents = load_documents(df)\n",
    "embeddings = HuggingFaceEmbeddings(model_name=\"paraphrase-multilingual-MiniLM-L12-v2\")\n",
    "db = FAISS.from_documents(documents, embeddings)\n",
    "db.save_local(folder_path=\"ChatBot\\FAISS\", index_name=\"speeches_1949_09_12\")\n"
   ]
  }
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