langchain.document_loaders.email.UnstructuredEmailLoader¶
class langchain.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.document_loaders import UnstructuredEmailLoader
loader = UnstructuredEmailLoader(“example_data/fake-email.eml”, mode=”elements”)
loader.load()
Example
from langchain.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.
lazy_load()
A lazy loader for Documents.
load()
Load file.
load_and_split([text_splitter])
Load Documents and split into chunks.
__init__(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]¶
Initialize with file path.
lazy_load() → Iterator[Document]¶
A lazy loader for Documents.
load() → List[Document]¶
Load file.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunks. Chunks are returned as Documents.
Parameters
text_splitter – TextSplitter instance to use for splitting documents.