Docling 集成

使用 LangChain Python 与 Docling 集成。

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.

此集成 provides Docling’s capabilities via the DoclingLoader document loader.

安装和设置

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

pip

pip install langchain-docling

文档加载器

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.

额外资源

• LangChain Docling integration GitHub
• LangChain Docling integration PyPI package
• Docling GitHub
• Docling docs

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