mirror of
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107 lines
2.5 KiB
Plaintext
107 lines
2.5 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "546fd3f7",
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"metadata": {},
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"source": [
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"# DBPedia\n",
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"\n",
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"This example shows how you can use LLMs to interact in natural language with a SPARKQL database."
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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": 1,
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"id": "6f3bf955",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.chat_models import ChatOpenAI\n",
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"from langchain.chains.dbpedia.base import DBPediaChain\n",
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"model = ChatOpenAI(model_name=\"gpt-4\")"
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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": 2,
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"id": "09dbd131",
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"metadata": {},
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"outputs": [],
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"source": [
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"chain = DBPediaChain.from_llm(model, verbose=True)"
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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": 3,
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"id": "408cb57d",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new DBPediaChain chain...\u001b[0m\n",
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"Query written:\n",
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"\u001b[32;1m\u001b[1;3mSELECT ?capital WHERE { \n",
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" ?country rdfs:label \"Wakanda\"@en . \n",
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" ?country dbo:capital ?capital . \n",
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" ?capital rdfs:label ?capitalLabel .\n",
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" FILTER (LANG(?capitalLabel) = 'en') \n",
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"}\u001b[0m\n",
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"Response gotten:\n",
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"\u001b[32;1m\u001b[1;3m{'head': {'link': [], 'vars': ['capital']}, 'results': {'distinct': False, 'ordered': True, 'bindings': []}}\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"'There is no capital information available for Wakanda in the provided SPARQL query response. This is because Wakanda is a fictional country in the Marvel Cinematic Universe and does not have a real-world capital.'"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"chain.run(\"what is the capital of wakanda?\")"
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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": "950e2472",
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"metadata": {},
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"outputs": [],
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"source": []
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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": "3.9.1"
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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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