PyPDFium2Loader#
- class langchain_community.document_loaders.pdf.PyPDFium2Loader(file_path: str, *, headers: Dict | None = None, extract_images: bool = False)[source]#
Load PDF using pypdfium2 and chunks at character level.
Initialize with a file path.
Attributes
source
Methods
__init__
(file_path, *[, headers, extract_images])Initialize with a file path.
A lazy loader for Documents.
aload
()Load data into Document objects.
Lazy load given path as pages.
load
()Load data into Document objects.
load_and_split
([text_splitter])Load Documents and split into chunks.
- Parameters:
file_path (str)
headers (Dict | None)
extract_images (bool)
- __init__(file_path: str, *, headers: Dict | None = None, extract_images: bool = False)[source]#
Initialize with a file path.
- Parameters:
file_path (str)
headers (Dict | None)
extract_images (bool)
- async alazy_load() AsyncIterator[Document] #
A lazy loader for Documents.
- Return type:
AsyncIterator[Document]
- lazy_load() Iterator[Document] [source]#
Lazy load given path as pages.
- Return type:
Iterator[Document]
- load_and_split(text_splitter: TextSplitter | None = 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]
Examples using PyPDFium2Loader