langchain/docs/extras/integrations/document_loaders/concurrent.ipynb

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   "cell_type": "markdown",
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   "source": [
    "# Concurrent Loader\n",
    "\n",
    "Works just like the GenericLoader but concurrently for those who choose to optimize their workflow.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6ff3fb1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.document_loaders import ConcurrentLoader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ce96fa20",
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = ConcurrentLoader.from_filesystem('example_data/', glob=\"**/*.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "06a6cf5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "files = loader.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b87d3e58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "668f1ee5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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