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1 | 1 | # docling-agent |
2 | | -Agent that read, write and edit documents. |
| 2 | + |
| 3 | +<p align="center"> |
| 4 | + <a href="https://trendshift.io/repositories/12132" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12132" alt="DS4SD%2Fdocling | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> |
| 5 | +</p> |
| 6 | + |
| 7 | +[](https://pypi.org/project/docling-agent/) |
| 8 | +[](https://pypi.org/project/docling-agent/) |
| 9 | +[](https://github.com/astral-sh/uv) |
| 10 | +[](https://github.com/astral-sh/ruff) |
| 11 | +[](https://pydantic.dev) |
| 12 | +[](https://github.com/pre-commit/pre-commit) |
| 13 | +[](https://opensource.org/licenses/MIT) |
| 14 | +[](https://pepy.tech/projects/docling-agent) |
| 15 | +[](https://lfaidata.foundation/projects/) |
| 16 | + |
| 17 | +Docling-agent simplifies agentic operation on documents, such as writing, editing, summarizing, etc. |
| 18 | + |
| 19 | +> [!NOTE] |
| 20 | +> **This package is still immature and work-in-progress. We are happy to get comments, suggestions, code contributions, etc!** |
| 21 | +
|
| 22 | +## Features |
| 23 | + |
| 24 | +## Installation |
| 25 | + |
| 26 | +**Coming soon** |
| 27 | + |
| 28 | +## Getting started |
| 29 | + |
| 30 | +**Coming soon** |
| 31 | + |
| 32 | +## Documentation |
| 33 | + |
| 34 | +**Coming soon** |
| 35 | + |
| 36 | +## Examples |
| 37 | + |
| 38 | +Go hands-on with our [examples](https://docling-project.github.io/docling/examples/), |
| 39 | +demonstrating how to address different application use cases with Docling. |
| 40 | + |
| 41 | +## Integrations |
| 42 | + |
| 43 | +To further accelerate your AI application development, check out Docling's native |
| 44 | +[integrations](https://docling-project.github.io/docling/integrations/) with popular frameworks |
| 45 | +and tools. |
| 46 | + |
| 47 | +## Get help and support |
| 48 | + |
| 49 | +Please feel free to connect with us using the [discussion section](https://github.com/docling-project/docling/discussions). |
| 50 | + |
| 51 | +## Technical report |
| 52 | + |
| 53 | +For more details on Docling's inner workings, check out the [Docling Technical Report](https://arxiv.org/abs/2408.09869). |
| 54 | + |
| 55 | +## Contributing |
| 56 | + |
| 57 | +Please read [Contributing to Docling](https://github.com/docling-project/docling/blob/main/CONTRIBUTING.md) for details. |
| 58 | + |
| 59 | +## References |
| 60 | + |
| 61 | +If you use Docling or Docling-agent in your projects, please consider citing the following: |
| 62 | + |
| 63 | +```bib |
| 64 | +@techreport{Docling, |
| 65 | + author = {Deep Search Team}, |
| 66 | + month = {8}, |
| 67 | + title = {Docling Technical Report}, |
| 68 | + url = {https://arxiv.org/abs/2408.09869}, |
| 69 | + eprint = {2408.09869}, |
| 70 | + doi = {10.48550/arXiv.2408.09869}, |
| 71 | + version = {1.0.0}, |
| 72 | + year = {2024} |
| 73 | +} |
| 74 | +``` |
| 75 | + |
| 76 | +## License |
| 77 | + |
| 78 | +The Docling codebase is under MIT license. |
| 79 | +For individual model usage, please refer to the model licenses found in the original packages. |
| 80 | + |
| 81 | +## LF AI & Data |
| 82 | + |
| 83 | +Docling is hosted as a project in the [LF AI & Data Foundation](https://lfaidata.foundation/projects/). |
| 84 | + |
| 85 | +### IBM ❤️ Open Source AI |
| 86 | + |
| 87 | +The project was started by the AI for knowledge team at IBM Research Zurich. |
| 88 | + |
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