langchain/templates/rag-pinecone/pinecone_rag.ipynb

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    "## Connect to template\n",
    "\n",
    "`Context`\n",
    " \n",
    "* LangServe apps gives you access to templates.\n",
    "* Templates LLM pipeline (runnables or chains) end-points accessible via FastAPI.\n",
    "* The environment for these templates is managed by Poetry.\n",
    "\n",
    "`Create app`\n",
    "\n",
    "* Install LangServe and create an app.\n",
    "* This will create a new Poetry environment /\n",
    "```\n",
    "pip install < to add > \n",
    "langchain serve new my-app\n",
    "cd my-app\n",
    "```\n",
    "\n",
    "`Add templates`\n",
    "\n",
    "* When we add a template, we update the Poetry config file with the necessary dependencies.\n",
    "* It also automatically installed these template dependencies in your Poetry environment\n",
    "```\n",
    "langchain serve add rag-pinecone\n",
    "```\n",
    "\n",
    "`Start FastAPI server`\n",
    "\n",
    "```\n",
    "langchain start\n",
    "```\n",
    "\n",
    "Note, we can now look at the endpoints:\n",
    "\n",
    "http://127.0.0.1:8000/docs#\n",
    "\n",
    "And look specifically at our loaded template:\n",
    "\n",
    "http://127.0.0.1:8000/docs#/default/invoke_rag_pinecone_invoke_post\n",
    " \n",
    "We can also use remote runnable to call it:"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
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   "metadata": {},
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   "source": [
    "from langserve.client import RemoteRunnable\n",
    "rag_app_pinecone = RemoteRunnable('http://localhost:8000/rag-pinecone')"
   ]
  }
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