langchain/examples/self_ask_with_search.ipynb

75 lines
1.9 KiB
Plaintext
Raw Normal View History

2022-10-24 21:51:15 +00:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "7e3b513e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[49m\n",
"Are follow up questions needed here:\u001b[0m\u001b[102m Yes.\n",
"Follow up: Who is the reigning men's U.S. Open champion?\u001b[0m\u001b[49m\n",
"Intermediate answer: \u001b[0m\u001b[103mCarlos Alcaraz.\u001b[0m\u001b[102m\n",
"Follow up: Where is Carlos Alcaraz from?\u001b[0m\u001b[49m\n",
"Intermediate answer: \u001b[0m\u001b[103mEl Palmar, Murcia, Spain.\u001b[0m\u001b[102m\n",
2022-10-24 21:51:15 +00:00
"So the final answer is: El Palmar, Murcia, Spain\u001b[0m"
]
},
{
"data": {
"text/plain": [
"'\\nSo the final answer is: El Palmar, Murcia, Spain'"
2022-10-24 21:51:15 +00:00
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from langchain import SelfAskWithSearchChain, OpenAI, SerpAPIChain\n",
"\n",
"llm = OpenAI(temperature=0)\n",
"search = SerpAPIChain()\n",
"\n",
"self_ask_with_search = SelfAskWithSearchChain(llm=llm, search_chain=search, verbose=True)\n",
2022-10-24 21:51:15 +00:00
"\n",
"self_ask_with_search.run(\"What is the hometown of the reigning men's U.S. Open champion?\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6195fc82",
"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": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}