{ "cells": [ { "cell_type": "markdown", "id": "30fc2c27", "metadata": {}, "source": [ "## Run Template\n", "\n", "As shown in the README, add template and start server:\n", "```\n", "langchain app add rag-semi-structured\n", "langchain serve\n", "```\n", "\n", "We can now look at the endpoints:\n", "\n", "http://127.0.0.1:8000/docs#\n", "\n", "And specifically at our loaded template:\n", "\n", "http://127.0.0.1:8000/docs#/default/invoke_rag_chroma_private_invoke_post\n", " \n", "We can also use remote runnable to call it:" ] }, { "cell_type": "code", "execution_count": null, "id": "65f5b560", "metadata": {}, "outputs": [], "source": [ "from langserve.client import RemoteRunnable\n", "\n", "rag_app = RemoteRunnable(\"http://localhost:8000/rag-chroma-private\")\n", "rag_app.invoke(\"How does agent memory work?\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.16" } }, "nbformat": 4, "nbformat_minor": 5 }