分析文档　（Analyze Document）

AnalyzeDocumentChain更像是一个终端链。该链条接受一个文档，将其拆分，并通过CombineDocumentsChain进行处理。这可以用作更完整的端到端链条。

with open("../../state_of_the_union.txt") as f:
    state_of_the_union = f.read()

摘要

让我们在下面看看它的工作原理，使用它来对一个长文档进行摘要。

from langchain import OpenAI
from langchain.chains.summarize import load_summarize_chain

llm = OpenAI(temperature=0)
summary_chain = load_summarize_chain(llm, chain_type="map_reduce")

from langchain.chains import AnalyzeDocumentChain

summarize_document_chain = AnalyzeDocumentChain(combine_docs_chain=summary_chain)

summarize_document_chain.run(state_of_the_union)

" In this speech, President Biden addresses the American people and the world, discussing the recent aggression of Russia's Vladimir Putin in Ukraine and the US response. He outlines economic sanctions and other measures taken to hold Putin accountable, and announces the US Department of Justice's task force to go after the crimes of Russian oligarchs. He also announces plans to fight inflation and lower costs for families, invest in American manufacturing, and provide military, economic, and humanitarian assistance to Ukraine. He calls for immigration reform, protecting the rights of women, and advancing the rights of LGBTQ+ Americans, and pays tribute to military families. He concludes with optimism for the future of America."

问答

让我们使用一个问答链来看看这个。

from langchain.chains.question_answering import load_qa_chain

qa_chain = load_qa_chain(llm, chain_type="map_reduce")

qa_document_chain = AnalyzeDocumentChain(combine_docs_chain=qa_chain)

qa_document_chain.run(input_document=state_of_the_union, question="what did the president say about justice breyer?")

' The president thanked Justice Breyer for his service.'