{
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  {
   "cell_type": "markdown",
   "id": "9fc6205b",
   "metadata": {},
   "source": [
    "# Metal\n",
    "\n",
    ">[Metal](https://github.com/getmetal/metal-python) is a managed service for ML Embeddings.\n",
    "\n",
    "This notebook shows how to use [Metal's](https://docs.getmetal.io/introduction) retriever.\n",
    "\n",
    "First, you will need to sign up for Metal and get an API key. You can do so [here](https://docs.getmetal.io/misc-create-app)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1a737220",
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install --upgrade --quiet  metal_sdk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b1bb478f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from metal_sdk.metal import Metal\n",
    "\n",
    "API_KEY = \"\"\n",
    "CLIENT_ID = \"\"\n",
    "INDEX_ID = \"\"\n",
    "\n",
    "metal = Metal(API_KEY, CLIENT_ID, INDEX_ID)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae3c3d16",
   "metadata": {},
   "source": [
    "## Ingest Documents\n",
    "\n",
    "You only need to do this if you haven't already set up an index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f0425fa0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': {'id': '642739aa7559b026b4430e42',\n",
       "  'text': 'foo',\n",
       "  'createdAt': '2023-03-31T19:51:06.748Z'}}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metal.index({\"text\": \"foo1\"})\n",
    "metal.index({\"text\": \"foo\"})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "944e172b",
   "metadata": {},
   "source": [
    "## Query\n",
    "\n",
    "Now that our index is set up, we can set up a retriever and start querying it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d0e6f506",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_community.retrievers import MetalRetriever"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f381f642",
   "metadata": {},
   "outputs": [],
   "source": [
    "retriever = MetalRetriever(metal, params={\"limit\": 2})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "20ae1a74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Document(page_content='foo1', metadata={'dist': '1.19209289551e-07', 'id': '642739a17559b026b4430e40', 'createdAt': '2023-03-31T19:50:57.853Z'}),\n",
       " Document(page_content='foo1', metadata={'dist': '4.05311584473e-06', 'id': '642738f67559b026b4430e3c', 'createdAt': '2023-03-31T19:48:06.769Z'})]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "retriever.invoke(\"foo1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d5a5088",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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