rspace

Load and parse a PDF file using 'pypdf' library.

This class provides methods to load and parse PDF documents, supporting various configurations such as handling password-protected files, extracting images, and defining extraction mode. It integrates the pypdf library for PDF processing and offers both synchronous and asynchronous document loading.

Examples: Setup:

   .. code-block:: bash

       pip install -U langchain-community pypdf

   Instantiate the loader:

   .. code-block:: python

       from langchain_community.document_loaders import PyPDFLoader

       loader = PyPDFLoader(
           file_path = "./example_data/layout-parser-paper.pdf",
           # headers = None
           # password = None,
           mode = "single",
           pages_delimiter = "

", # extract_images = True, # images_parser = RapidOCRBlobParser(), )

   Lazy load documents:

   .. code-block:: python

       docs = []
       docs_lazy = loader.lazy_load()

       for doc in docs_lazy:
           docs.append(doc)
       print(docs[0].page_content[:100])
       print(docs[0].metadata)

   Load documents asynchronously:

   .. code-block:: python

       docs = await loader.aload()
       print(docs[0].page_content[:100])
       print(docs[0].metadata)

Load content from RSpace notebooks, folders, documents or PDF Gallery files.

Map RSpace document <-> Langchain Document in 1-1. PDFs are imported using PyPDF.

Requirements are rspace_client (pip install rspace_client) and PyPDF if importing PDF docs (pip install pypdf).