langchain/docs/modules/indexes/document_loaders/examples/email.ipynb

Email

This notebook shows how to load email (.eml) and Microsoft Outlook (.msg) files.

Using Unstructured

In [1]:

from langchain.document_loaders import UnstructuredEmailLoader

In [2]:

loader = UnstructuredEmailLoader('example_data/fake-email.eml')

In [3]:

data = loader.load()

In [4]:

data

Out [4]:

[Document(page_content='This is a test email to use for unit tests.\n\nImportant points:\n\nRoses are red\n\nViolets are blue', lookup_str='', metadata={'source': 'example_data/fake-email.eml'}, lookup_index=0)]

Retain Elements

Under the hood, Unstructured creates different "elements" for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying mode="elements".

In [5]:

loader = UnstructuredEmailLoader('example_data/fake-email.eml', mode="elements")

In [6]:

data = loader.load()

In [7]:

data[0]

Out [7]:

Document(page_content='This is a test email to use for unit tests.', lookup_str='', metadata={'source': 'example_data/fake-email.eml'}, lookup_index=0)

Using OutlookMessageLoader

In [8]:

from langchain.document_loaders import OutlookMessageLoader

In [9]:

loader = OutlookMessageLoader('example_data/fake-email.msg')

In [10]:

data = loader.load()

In [11]:

data[0]

Out [11]:

Document(page_content='This is a test email to experiment with the MS Outlook MSG Extractor\r\n\r\n\r\n-- \r\n\r\n\r\nKind regards\r\n\r\n\r\n\r\n\r\nBrian Zhou\r\n\r\n', metadata={'subject': 'Test for TIF files', 'sender': 'Brian Zhou <brizhou@gmail.com>', 'date': 'Mon, 18 Nov 2013 16:26:24 +0800'})

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