langchain/examples/sqlite.ipynb

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2022-10-28 06:21:47 +00:00
{
"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
}