langchain/docs/modules/indexes/document_loaders/examples/email.ipynb

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  {
   "cell_type": "markdown",
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   "source": [
    "# Email\n",
    "\n",
    "This notebook shows how to load email (`.eml`) files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "40cd9806",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.document_loaders import UnstructuredEmailLoader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2d20b852",
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = UnstructuredEmailLoader('example_data/fake-email.eml')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "579fa702",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = loader.load()"
   ]
  },
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   "cell_type": "code",
   "execution_count": 4,
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   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Document(page_content='This is a test email to use for unit tests.\\n\\nImportant points:\\n\\nRoses are red\\n\\nViolets are blue', lookup_str='', metadata={'source': 'example_data/fake-email.eml'}, lookup_index=0)]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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    "data"
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   "cell_type": "markdown",
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   "source": [
    "## Retain Elements\n",
    "\n",
    "Under the hood, Unstructured creates different \"elements\" for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying `mode=\"elements\"`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b9592eaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = UnstructuredEmailLoader('example_data/fake-email.eml', mode=\"elements\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0b16d03f",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = loader.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d7bdc5e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Document(page_content='This is a test email to use for unit tests.', lookup_str='', metadata={'source': 'example_data/fake-email.eml'}, lookup_index=0)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[0]"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "id": "6a074515",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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