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Document Loaders
Document Loaders#
All different types of document loaders.
class langchain.document_loaders.AZLyricsLoader(web_path: Union[str, List[str]], header_template: Optional[dict] = None)[source]#
Loader that loads AZLyrics webpages.
load() → List[langchain.schema.Document][source]#
Load webpage.
class langchain.document_loaders.AcreomLoader(path: str, encoding: str = 'UTF-8', collect_metadata: bool = True)[source]#
FRONT_MATTER_REGEX = re.compile('^---\\n(.*?)\\n---\\n', re.MULTILINE|re.DOTALL)#
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.AirbyteJSONLoader(file_path: str)[source]#
Loader that loads local airbyte json files.
load() → List[langchain.schema.Document][source]#
Load file.
class langchain.document_loaders.AirtableLoader(api_token: str, table_id: str, base_id: str)[source]#
Loader that loads local airbyte json files.
lazy_load() → Iterator[langchain.schema.Document][source]#
Load Table.
load() → List[langchain.schema.Document][source]#
Load Table.
pydantic model langchain.document_loaders.ApifyDatasetLoader[source]#
Logic for loading documents from Apify datasets.
field apify_client: Any = None#
field dataset_id: str [Required]#
The ID of the dataset on the Apify platform.
field dataset_mapping_function: Callable[[Dict], langchain.schema.Document] [Required]#
rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/document_loaders.html