page_content='custom doc' metadata=FieldInfo(annotation=NoneType, required=False, default_factory=dict) 在这个例子中,创建了一个名为custom_doc的Document类的实例,并通过print(custom_doc)将其输出。确保环境中已经安装了pydantic和langchain_core模块,可以使用pip install pydantic langchain_core -i https://p...
Document(page_content='这是对主要部分的第一个子部分的详细介绍。', metadata={'Header 1': '网站主题', 'Header 2': '部分一:主要部分', 'Header 3': '小节1.1:主要部分的子部分'}), Document(page_content='这是对主要部分的另一个子部分的介绍。 \n这是对上一子部分的进一步深入,展示更具体的信...
该类的引用包为from langchain.docstore.document import Document。简单理解就是包括文本内容(page_content)、元数据(metadata)和类型(type)的类。源码如下所示: classDocument(Serializable):"""Class for storing a piece of text and associated metadata."""page_content:str"""String text."""metadata...
[Document(page_content='MLB Team: Team\nPayroll in millions: "Payroll (millions)"\nWins: "Wins"', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 0}, lookup_index=0), Document(page_content='MLB Team: Nationals\nPayroll in millions: 81.34\nWins: ...
Loader 加载外部的文档，转化为标准的 Document 类型。Document 类型主要包含两个属性：page_content 包含...
"docs=vectordb.similarity_search(question,k=5)print(docs[0].page_content)# Document(page_content='those homeworks will be done in either MATLA B or in Octave, which is sort of — I \nknow some people call it a free ve rsion of MATLAB, which it sort of is, sort of isn\'t. \...
"docs = vectordb.similarity_search(question, k=5)print(docs[0].page_content)# Document(page_content='those homeworks will be done in either MATLA B or in Octave, which is sort of — I \nknow some people call it a free ve rsion of MATLAB, which it sort of is, sort of isn\'t...
_documents(pages)print(docs[0])# Output: Document(page_content='MachineLearning-Lecture01 \n', metadata={'source': 'docs/cs229_lectures/MachineLearning-Lecture01.pdf', 'page': 0})print(pages[0].metadata)# Output: {'source': 'docs/cs229_lectures/MachineLearning-Lecture01.pdf', 'page':...
page_content是文档的文本内容，metadata是文档的元数据，例如标题、作者、日期等。文本分割器（DocumentSplitter）：文本分割器是一个对象，可以将一个文档对象分割成多个较小的文档对象。这样做的目的是为了方便后续的检索和生成，因为大模型的输入窗口是有限的，而且在较短的文本中更容易找到相关的信息。文本嵌入器（...
Document(page_content=": 0\nname: Women's Campside Oxfords\ndescription: This ultracomfortable lace-to-toe Oxford boasts a super-soft canvas, thick cushioning, and quality construction for a broken-in feel from the first time you put them on. \n\nSize & Fit: Order regular shoe size. ...