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chore: update README

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Signed-off-by: Panos Vagenas <35837085+vagenas@users.noreply.github.com>
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Panos Vagenas 2024-09-09 11:27:46 +02:00
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@ -24,7 +24,7 @@ Docling bundles PDF document conversion to JSON and Markdown in an easy, self-co
* 📝 Extracts metadata from the document, such as title, authors, references and language
* 🔍 Optionally applies OCR (use with scanned PDFs)
Doing RAG or Q/A? Also consider [Quackling](https://github.com/DS4SD/quackling) to get the most out of your documents.
For RAG, check out [Quackling](https://github.com/DS4SD/quackling) to get the most out of your docs, be it using LlamaIndex, LangChain or your pipeline.
## Installation
@ -144,6 +144,10 @@ results = doc_converter.convert(conv_input)
You can limit the CPU threads used by Docling by setting the environment variable `OMP_NUM_THREADS` accordingly. The default setting is using 4 CPU threads.
## Technical report
For more details on Docling's inner workings, check out the [Docling Technical Report](https://arxiv.org/abs/2408.09869).
## Contributing
Please read [Contributing to Docling](https://github.com/DS4SD/docling/blob/main/CONTRIBUTING.md) for details.
@ -155,14 +159,14 @@ If you use Docling in your projects, please consider citing the following:
```bib
@techreport{Docling,
author = {Deep Search Team},
month = {8},
title = {{Docling Technical Report}},
url={https://arxiv.org/abs/2408.09869},
eprint={2408.09869},
author = "Deep Search Team",
month = 8,
title = "Docling Technical Report",
url = "https://arxiv.org/abs/2408.09869",
eprint = "2408.09869",
doi = "10.48550/arXiv.2408.09869",
version = {1.0.0},
year = {2024}
version = "1.0.0",
year = 2024
}
```