langchain_community.document_loaders.email
.UnstructuredEmailLoader¶
- class langchain_community.document_loaders.email.UnstructuredEmailLoader(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]¶
Load email files using Unstructured.
Works with both .eml and .msg files. You can process attachments in addition to the e-mail message itself by passing process_attachments=True into the constructor for the loader. By default, attachments will be processed with the unstructured partition function. If you already know the document types of the attachments, you can specify another partitioning function with the attachment partitioner kwarg.
Example
from langchain_community.document_loaders import UnstructuredEmailLoader
loader = UnstructuredEmailLoader(“example_data/fake-email.eml”, mode=”elements”) loader.load()
Example
from langchain_community.document_loaders import UnstructuredEmailLoader
- loader = UnstructuredEmailLoader(
“example_data/fake-email-attachment.eml”, mode=”elements”, process_attachments=True,
) loader.load()
Initialize with file path.
Methods
__init__
(file_path[, mode])Initialize with file path.
A lazy loader for Documents.
Load file.
load
()Load data into Document objects.
load_and_split
([text_splitter])Load Documents and split into chunks.
- Parameters
file_path (str) –
mode (str) –
unstructured_kwargs (Any) –
- __init__(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]¶
Initialize with file path.
- Parameters
file_path (str) –
mode (str) –
unstructured_kwargs (Any) –
- async alazy_load() AsyncIterator[Document] ¶
A lazy loader for Documents.
- Return type
AsyncIterator[Document]
- load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document] ¶
Load Documents and split into chunks. Chunks are returned as Documents.
Do not override this method. It should be considered to be deprecated!
- Parameters
text_splitter (Optional[TextSplitter]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
- Returns
List of Documents.
- Return type
List[Document]