langchain/docs/versioned_docs/version-0.2.x/integrations/stores/file_system.ipynb

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   "cell_type": "raw",
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   "source": [
    "---\n",
    "sidebar_label: Local Filesystem\n",
    "sidebar_position: 3\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LocalFileStore\n",
    "\n",
    "The `LocalFileStore` is a persistent implementation of `ByteStore` that stores everything in a folder of your choosing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[b'v1', b'v2']\n"
     ]
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "from langchain.storage import LocalFileStore\n",
    "\n",
    "root_path = Path.cwd() / \"data\"  # can also be a path set by a string\n",
    "store = LocalFileStore(root_path)\n",
    "\n",
    "store.mset([(\"k1\", b\"v1\"), (\"k2\", b\"v2\")])\n",
    "print(store.mget([\"k1\", \"k2\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's see which files exist in our `data` folder:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k1 k2\n"
     ]
    }
   ],
   "source": [
    "!ls {root_path}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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