{ "cells": [ { "cell_type": "markdown", "id": "546fd3f7", "metadata": {}, "source": [ "# DBPedia\n", "\n", "This example shows how you can use LLMs to interact in natural language with a SPARKQL database." ] }, { "cell_type": "code", "execution_count": 1, "id": "6f3bf955", "metadata": {}, "outputs": [], "source": [ "from langchain.chat_models import ChatOpenAI\n", "from langchain.chains.dbpedia.base import DBPediaChain\n", "model = ChatOpenAI(model_name=\"gpt-4\")" ] }, { "cell_type": "code", "execution_count": 2, "id": "09dbd131", "metadata": {}, "outputs": [], "source": [ "chain = DBPediaChain.from_llm(model, verbose=True)" ] }, { "cell_type": "code", "execution_count": 3, "id": "408cb57d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new DBPediaChain chain...\u001b[0m\n", "Query written:\n", "\u001b[32;1m\u001b[1;3mSELECT ?capital WHERE { \n", " ?country rdfs:label \"Wakanda\"@en . \n", " ?country dbo:capital ?capital . \n", " ?capital rdfs:label ?capitalLabel .\n", " FILTER (LANG(?capitalLabel) = 'en') \n", "}\u001b[0m\n", "Response gotten:\n", "\u001b[32;1m\u001b[1;3m{'head': {'link': [], 'vars': ['capital']}, 'results': {'distinct': False, 'ordered': True, 'bindings': []}}\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n" ] }, { "data": { "text/plain": [ "'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.'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "chain.run(\"what is the capital of wakanda?\")" ] }, { "cell_type": "code", "execution_count": null, "id": "950e2472", "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": "3.9.1" } }, "nbformat": 4, "nbformat_minor": 5 }