https://github.com/docling-project/docling-langchain

Docling LangChain integration
https://github.com/docling-project/docling-langchain

Last synced: 9 months ago
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Docling LangChain integration

• Host: GitHub
• URL: https://github.com/docling-project/docling-langchain
• Owner: docling-project
• License: mit
• Created: 2025-01-06T13:47:36.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-09-09T11:29:04.000Z (9 months ago)
• Last Synced: 2025-09-09T14:20:42.034Z (9 months ago)
• Language: Python
• Homepage: https://docling-project.github.io/docling/integrations/langchain
• Size: 871 KB
• Stars: 44
• Watchers: 1
• Forks: 14
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Maintainers: MAINTAINERS.md

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README

          
# Docling LangChain integration

[![PyPI version](https://img.shields.io/pypi/v/langchain-docling)](https://pypi.org/project/langchain-docling/)

[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/langchain-docling)](https://pypi.org/project/langchain-docling/)

[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)

[![Pydantic v2](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v2.json)](https://pydantic.dev)

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)

[![License MIT](https://img.shields.io/github/license/docling-project/docling-langchain)](https://opensource.org/licenses/MIT)

A [Docling](https://github.com/docling-project/docling) integration for

[LangChain](https://github.com/langchain-ai/langchain/).

## Installation

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

```bash

pip install langchain-docling

```

### Development setup

To develop for Docling Core, you need Python >=3.9 <=3.13 and uv. You can then install from your local clone's root dir:

```bash

uv sync

```

## Usage

### Basic usage

Basic usage of `DoclingLoader` looks as follows:

```python

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()

```

### Advanced usage

When initializing a `DoclingLoader`, you can use the following parameters:

- `file_path`: source as single str (URL or local file) or iterable thereof

- `converter` (optional): any specific Docling converter instance to use

- `convert_kwargs` (optional): any specific kwargs for conversion execution

- `export_type` (optional): export mode to use: `ExportType.DOC_CHUNKS` (default) or

    `ExportType.MARKDOWN`

- `md_export_kwargs` (optional): any specific Markdown export kwargs (for Markdown mode)

- `chunker` (optional): any specific Docling chunker instance to use (for doc-chunk

    mode)

- `meta_extractor` (optional): any specific metadata extractor to use

### Docs and examples

For more details and usage examples, check out

[this page](https://docling-project.github.io/docling/integrations/langchain/).