Docling parses PDF, DOCX, PPTX, HTML, and other formats into a rich unified representation including document layout, tables etc., making them ready for generative AI workflows like RAG. This integration provides Docling’s capabilities via the DoclingLoader document loader.

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Installation and Setup

Simply install langchain-docling from your package manager, e.g. pip: 
pip install langchain-docling

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Document Loader

The DoclingLoader class in langchain-docling seamlessly integrates Docling into LangChain, enabling you to:
  • use various document types in your LLM applications with ease and speed, and
  • leverage Docling’s rich representation for advanced, document-native grounding.
Basic usage looks as follows: 
from langchain_docling import DoclingLoader

FILE_PATH = ["https://arxiv.org/pdf/2408.09869"]  # Docling Technical Report

loader = DoclingLoader(file_path=FILE_PATH)

docs = loader.load()
For end-to-end usage check out this example.

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Additional Resources