Created
September 16, 2023 08:54
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MapRerankDocumentsChain issue: empty answers ranked 90-100
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import os | |
import tempfile | |
from pathlib import Path | |
import pprint | |
import pdfkit # pip install pdfkit | |
from langchain.chat_models import ChatOpenAI | |
from langchain.document_loaders import PyPDFLoader | |
from langchain.schema import Document | |
from langchain.chains import MapRerankDocumentsChain | |
from langchain.chains.question_answering import load_qa_chain | |
from dotenv import load_dotenv | |
pp = pprint.PrettyPrinter(indent=2) | |
load_dotenv() | |
OPENAI_API_KEY = os.environ.get('OPENAI_API_KEY') | |
# the issue occurs often, but not all the time | |
# but with Ethereum whitepaper there are many issues =) | |
ethereum_wp_url = 'https://ethereum.org/en/whitepaper/' | |
with tempfile.TemporaryDirectory() as tmp_dir: | |
tmp_pdf = Path(tmp_dir, '_eth.pdf') | |
pdfkit.from_url(ethereum_wp_url, tmp_pdf) | |
loader = PyPDFLoader(str(tmp_pdf)) | |
pages: list[Document] = loader.load_and_split() | |
os.unlink(tmp_pdf) | |
precise_chat_model = ChatOpenAI( | |
model_name='gpt-3.5-turbo', | |
temperature=0, | |
openai_api_key=OPENAI_API_KEY | |
) | |
# noinspection PyTypeChecker | |
qa_chain: MapRerankDocumentsChain = load_qa_chain( | |
llm=precise_chat_model, | |
chain_type='map_rerank', | |
verbose=True, | |
return_intermediate_steps=True | |
) | |
question = 'please explain Code Execution' | |
query = {'input_documents': pages[:5], # will get an empty answer | |
'question': question} | |
answer = qa_chain(query, return_only_outputs=True) | |
pp.pprint(answer) |
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