mirror of
https://github.com/hwchase17/langchain
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5c0e9ac578
This change adds a new template for simple RAG using the SingleStoreDB vectorstore. Twitter: @alexjpeng --------- Co-authored-by: Erick Friis <erick@langchain.dev>
52 lines
1.0 KiB
Plaintext
52 lines
1.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "681a5d1e",
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"metadata": {},
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"source": [
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"## Connect to template\n",
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"\n",
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"In `server.py`, set -\n",
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"```\n",
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"add_routes(app, chain_ext, path=\"/rag_singlestore\")\n",
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"```"
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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": "d774be2a",
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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_singlestore = RemoteRunnable(\"http://0.0.0.0:8001/rag_singlestore\")\n",
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"rag_app_singlestore.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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"language_info": {
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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