mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
63 lines
1.4 KiB
Plaintext
63 lines
1.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "30fc2c27",
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"metadata": {},
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"source": [
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"## Run Template\n",
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"\n",
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"As shown in the README, add template and start server:\n",
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"```\n",
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"langchain serve add rag-semi-structured\n",
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"langchain start\n",
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"```\n",
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"\n",
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"We can now look at the endpoints:\n",
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"\n",
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"http://127.0.0.1:8000/docs#\n",
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"\n",
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"And specifically at our loaded template:\n",
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"\n",
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"http://127.0.0.1:8000/docs#/default/invoke_rag_chroma_private_invoke_post\n",
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" \n",
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"We can also use remote runnable to call it:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "65f5b560",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langserve.client import RemoteRunnable\n",
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"\n",
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"rag_app = RemoteRunnable(\"http://localhost:8000/rag-chroma-private\")\n",
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"rag_app.invoke(\"How does agent memory work?\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.16"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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