`langchain_community.document_loaders.generic`.GenericLoader¶

class langchain_community.document_loaders.generic.GenericLoader(blob_loader: BlobLoader, blob_parser: BaseBlobParser)[source]¶

Generic Document Loader.

A generic document loader that allows combining an arbitrary blob loader with a blob parser.

Examples

Parse a specific PDF file:

 from langchain_community.document_loaders import GenericLoader
 from langchain_community.document_loaders.parsers.pdf import PyPDFParser

 # Recursively load all text files in a directory.
 loader = GenericLoader.from_filesystem(
     "my_lovely_pdf.pdf",
     parser=PyPDFParser()
 )

.. code-block:: python

     from langchain_community.document_loaders import GenericLoader
     from langchain_community.document_loaders.blob_loaders import FileSystemBlobLoader


     loader = GenericLoader.from_filesystem(
         path="path/to/directory",
         glob="**/[!.]*",
         suffixes=[".pdf"],
         show_progress=True,
     )

     docs = loader.lazy_load()
     next(docs)

Example instantiations to change which files are loaded:

# Recursively load all text files in a directory.
loader = GenericLoader.from_filesystem("/path/to/dir", glob="**/*.txt")

# Recursively load all non-hidden files in a directory.
loader = GenericLoader.from_filesystem("/path/to/dir", glob="**/[!.]*")

# Load all files in a directory without recursion.
loader = GenericLoader.from_filesystem("/path/to/dir", glob="*")

Example instantiations to change which parser is used:

from langchain_community.document_loaders.parsers.pdf import PyPDFParser

# Recursively load all text files in a directory.
loader = GenericLoader.from_filesystem(
    "/path/to/dir",
    glob="**/*.pdf",
    parser=PyPDFParser()
)

A generic document loader.

Parameters

blob_loader – A blob loader which knows how to yield blobs
blob_parser – A blob parser which knows how to parse blobs into documents

Methods

`__init__`(blob_loader, blob_parser)	A generic document loader.
`from_filesystem`(path, *[, glob, exclude, ...])	Create a generic document loader using a filesystem blob loader.
`get_parser`(**kwargs)	Override this method to associate a default parser with the class.
`lazy_load`()	Load documents lazily.
`load`()	Load all documents.
`load_and_split`([text_splitter])	Load all documents and split them into sentences.

__init__(blob_loader: BlobLoader, blob_parser: BaseBlobParser) → None[source]¶

A generic document loader.

Parameters

blob_loader – A blob loader which knows how to yield blobs
blob_parser – A blob parser which knows how to parse blobs into documents

classmethod from_filesystem(path: Union[str, Path], *, glob: str = '**/[!.]*', exclude: Sequence[str] = (), suffixes: Optional[Sequence[str]] = None, show_progress: bool = False, parser: Union[Literal['default'], BaseBlobParser] = 'default', parser_kwargs: Optional[dict] = None) → GenericLoader[source]¶

Create a generic document loader using a filesystem blob loader.

Parameters

path –
The path to the directory to load documents from OR the path to a single file to load. If this is a file, glob, exclude, suffixes

will be ignored.
glob – The glob pattern to use to find documents.
suffixes – The suffixes to use to filter documents. If None, all files matching the glob will be loaded.
exclude – A list of patterns to exclude from the loader.
show_progress – Whether to show a progress bar or not (requires tqdm). Proxies to the file system loader.
parser – A blob parser which knows how to parse blobs into documents, will instantiate a default parser if not provided. The default can be overridden by either passing a parser or setting the class attribute blob_parser (the latter should be used with inheritance).
parser_kwargs – Keyword arguments to pass to the parser.

Returns

A generic document loader.

static get_parser(**kwargs: Any) → BaseBlobParser[source]¶: Override this method to associate a default parser with the class.

lazy_load() → Iterator[Document][source]¶: Load documents lazily. Use this when working at a large scale.

load() → List[Document][source]¶: Load all documents.

load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document][source]¶: Load all documents and split them into sentences.

Examples using GenericLoader¶

langchain_community.document_loaders.generic.GenericLoader¶

Examples using GenericLoader¶

`langchain_community.document_loaders.generic`.GenericLoader¶