EverNote
印象笔记 旨在用于存档和创建笔记，其中可以嵌入照片、音频和保存的网页内容。笔记存储在虚拟的“笔记本”中，可以进行标记、注释、编辑、搜索和导出。
此笔记本演示如何从磁盘加载 Evernote 导出 文件（.enex）。
将为导出中的每个笔记创建一个文档。
# lxml and html2text are required to parse EverNote notes
%pip install --upgrade --quiet lxml
%pip install --upgrade --quiet html2text
from langchain_community.document_loaders import EverNoteLoader
# By default all notes are combined into a single Document
loader = EverNoteLoader("example_data/testing.enex")
loader.load()
API 参考：EverNoteLoader
[Document(page_content='testing this\n\nwhat happens?\n\nto the world?**Jan - March 2022**', metadata={'source': 'example_data/testing.enex'})]
# It's likely more useful to return a Document for each note
loader = EverNoteLoader("example_data/testing.enex", load_single_document=False)
loader.load()
[Document(page_content='testing this\n\nwhat happens?\n\nto the world?', metadata={'title': 'testing', 'created': time.struct_time(tm_year=2023, tm_mon=2, tm_mday=9, tm_hour=3, tm_min=47, tm_sec=46, tm_wday=3, tm_yday=40, tm_isdst=-1), 'updated': time.struct_time(tm_year=2023, tm_mon=2, tm_mday=9, tm_hour=3, tm_min=53, tm_sec=28, tm_wday=3, tm_yday=40, tm_isdst=-1), 'note-attributes.author': 'Harrison Chase', 'source': 'example_data/testing.enex'}),
Document(page_content='**Jan - March 2022**', metadata={'title': 'Summer Training Program', 'created': time.struct_time(tm_year=2022, tm_mon=12, tm_mday=27, tm_hour=1, tm_min=59, tm_sec=48, tm_wday=1, tm_yday=361, tm_isdst=-1), 'note-attributes.author': 'Mike McGarry', 'note-attributes.source': 'mobile.iphone', 'source': 'example_data/testing.enex'})]