notes into a single long Document.
True (If this is set to) – the ‘source’ which contains the file name of the export.
load() → List[langchain.schema.Document][source]#
Load documents from EverNote export file.
class langchain.document_loaders.FacebookChatLoader(path: str)[source]#
Loader that loads Facebook messages json directory dump.
load() → List[langchain.schema.Document][source]#
Load documents.
class langchain.document_loaders.FaunaLoader(query: str, page_content_field: str, secret: str, metadata_fields: Optional[Sequence[str]] = None)[source]#
query#
The FQL query string to execute.
Type
str
page_content_field#
The field that contains the content of each page.
Type
str
secret#
The secret key for authenticating to FaunaDB.
Type
str
metadata_fields#
Optional list of field names to include in metadata.
Type
Optional[Sequence[str]]
lazy_load() → Iterator[langchain.schema.Document][source]#
A lazy loader for document content.
load() → List[langchain.schema.Document][source]#
Load data into document objects.
class langchain.document_loaders.FigmaFileLoader(access_token: str, ids: str, key: str)[source]#
Loader that loads Figma file json.
load() → List[langchain.schema.Document][source]#
Load file
class langchain.document_loaders.GCSDirectoryLoader(project_name: str, bucket: str, prefix: str = '')[source]#
Loading logic for loading documents from GCS.
load() → List[langchain.schema.Document][source]#
Load documents.
class langchain.document_loaders.GCSFileLoader(project_name: str, bucket: str, blob: str)[source]#
rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/document_loaders.html