langchain/examples/sqlite.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b2f66479",
   "metadata": {},
   "source": [
    "This uses the example Chinook database.\n",
    "To set it up follow the instructions on https://database.guide/2-sample-databases-sqlite/, placing the `.db` file in a notebooks folder at the root of this repository."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d0e27d88",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain import OpenAI, SQLDatabase, SQLDatabaseChain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "72ede462",
   "metadata": {},
   "outputs": [],
   "source": [
    "db = SQLDatabase.from_uri(\"sqlite:///../notebooks/Chinook.db\")\n",
    "llm = OpenAI(temperature=0)\n",
    "db_chain = SQLDatabaseChain(llm=llm, database=db)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "15ff81df",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " SELECT COUNT(*) FROM Employee\n",
      "[(8,)]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "' There are 8 employees.'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db_chain.query(\"How many employees are there?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "146fa162",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}