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Python Version](https://img.shields.io/pypi/pyversions/langchain-docling)](https://pypi.org/project/langchain-docling/)\n[![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)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat\u0026labelColor=ef8336)](https://pycqa.github.io/isort/)\n[![Pydantic v2](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v2.json)](https://pydantic.dev)\n[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit\u0026logoColor=white)](https://github.com/pre-commit/pre-commit)\n[![License MIT](https://img.shields.io/github/license/docling-project/docling-langchain)](https://opensource.org/licenses/MIT)\n\nA [Docling](https://github.com/docling-project/docling) integration for\n[LangChain](https://github.com/langchain-ai/langchain/).\n\n## Installation\n\nSimply install `langchain-docling` from your package manager, e.g. pip:\n```bash\npip install langchain-docling\n```\n\n### Development setup\n\nTo develop for Docling Core, you need Python \u003e=3.9 \u003c=3.13 and uv. You can then install from your local clone's root dir:\n```bash\nuv sync\n```\n\n## Usage\n\n### Basic usage\n\nBasic usage of `DoclingLoader` looks as follows:\n\n```python\nfrom langchain_docling import DoclingLoader\n\nFILE_PATH = [\"https://arxiv.org/pdf/2408.09869\"]  # Docling Technical Report\n\nloader = DoclingLoader(file_path=FILE_PATH)\ndocs = loader.load()\n```\n\n### Advanced usage\n\nWhen initializing a `DoclingLoader`, you can use the following parameters:\n\n- `file_path`: source as single str (URL or local file) or iterable thereof\n- `converter` (optional): any specific Docling converter instance to use\n- `convert_kwargs` (optional): any specific kwargs for conversion execution\n- `export_type` (optional): export mode to use: `ExportType.DOC_CHUNKS` (default) or\n    `ExportType.MARKDOWN`\n- `md_export_kwargs` (optional): any specific Markdown export kwargs (for Markdown mode)\n- `chunker` (optional): any specific Docling chunker instance to use (for doc-chunk\n    mode)\n- `meta_extractor` (optional): any specific metadata extractor to use\n\n### Docs and examples\n\nFor more details and usage examples, check out\n[this page](https://docling-project.github.io/docling/integrations/langchain/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdocling-project%2Fdocling-langchain","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdocling-project%2Fdocling-langchain","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdocling-project%2Fdocling-langchain/lists"}