docs: Linux Foundation AI & Data (#1183)

* point the auxiliary files to the community repo and add lfai in README

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* update docs index

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

---------

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
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# Contributor Covenant Code of Conduct
## Our Pledge
We as members, contributors, and leaders pledge to make participation in our
community a harassment-free experience for everyone, regardless of age, body
size, visible or invisible disability, ethnicity, sex characteristics, gender
identity and expression, level of experience, education, socio-economic status,
nationality, personal appearance, race, religion, or sexual identity
and orientation.
We pledge to act and interact in ways that contribute to an open, welcoming,
diverse, inclusive, and healthy community.
## Our Standards
Examples of behavior that contributes to a positive environment for our
community include:
* Demonstrating empathy and kindness toward other people
* Being respectful of differing opinions, viewpoints, and experiences
* Giving and gracefully accepting constructive feedback
* Accepting responsibility and apologizing to those affected by our mistakes,
and learning from the experience
* Focusing on what is best not just for us as individuals, but for the
overall community
Examples of unacceptable behavior include:
* The use of sexualized language or imagery, and sexual attention or
advances of any kind
* Trolling, insulting or derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or email
address, without their explicit permission
* Other conduct which could reasonably be considered inappropriate in a
professional setting
## Enforcement Responsibilities
Community leaders are responsible for clarifying and enforcing our standards of
acceptable behavior and will take appropriate and fair corrective action in
response to any behavior that they deem inappropriate, threatening, offensive,
or harmful.
Community leaders have the right and responsibility to remove, edit, or reject
comments, commits, code, wiki edits, issues, and other contributions that are
not aligned to this Code of Conduct, and will communicate reasons for moderation
decisions when appropriate.
## Scope
This Code of Conduct applies within all community spaces, and also applies when
an individual is officially representing the community in public spaces.
Examples of representing our community include using an official e-mail address,
posting via an official social media account, or acting as an appointed
representative at an online or offline event.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported to the community leaders responsible for enforcement using
[deepsearch-core@zurich.ibm.com](mailto:deepsearch-core@zurich.ibm.com).
All complaints will be reviewed and investigated promptly and fairly.
All community leaders are obligated to respect the privacy and security of the
reporter of any incident.
## Enforcement Guidelines
Community leaders will follow these Community Impact Guidelines in determining
the consequences for any action they deem in violation of this Code of Conduct:
### 1. Correction
**Community Impact**: Use of inappropriate language or other behavior deemed
unprofessional or unwelcome in the community.
**Consequence**: A private, written warning from community leaders, providing
clarity around the nature of the violation and an explanation of why the
behavior was inappropriate. A public apology may be requested.
### 2. Warning
**Community Impact**: A violation through a single incident or series
of actions.
**Consequence**: A warning with consequences for continued behavior. No
interaction with the people involved, including unsolicited interaction with
those enforcing the Code of Conduct, for a specified period of time. This
includes avoiding interactions in community spaces as well as external channels
like social media. Violating these terms may lead to a temporary or
permanent ban.
### 3. Temporary Ban
**Community Impact**: A serious violation of community standards, including
sustained inappropriate behavior.
**Consequence**: A temporary ban from any sort of interaction or public
communication with the community for a specified period of time. No public or
private interaction with the people involved, including unsolicited interaction
with those enforcing the Code of Conduct, is allowed during this period.
Violating these terms may lead to a permanent ban.
### 4. Permanent Ban
**Community Impact**: Demonstrating a pattern of violation of community
standards, including sustained inappropriate behavior, harassment of an
individual, or aggression toward or disparagement of classes of individuals.
**Consequence**: A permanent ban from any sort of public interaction within
the community.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage],
version 2.0, available at
[https://www.contributor-covenant.org/version/2/0/code_of_conduct.html](https://www.contributor-covenant.org/version/2/0/code_of_conduct.html).
Community Impact Guidelines were inspired by [Mozilla's code of conduct
enforcement ladder](https://github.com/mozilla/diversity).
Homepage: [https://www.contributor-covenant.org](https://www.contributor-covenant.org)
For answers to common questions about this code of conduct, see the FAQ at
[https://www.contributor-covenant.org/faq](https://www.contributor-covenant.org/faq). Translations are available at
[https://www.contributor-covenant.org/translations](https://www.contributor-covenant.org/translations).
This project adheres to the [Docling - Code of Conduct and Covenant](https://github.com/docling-project/community/blob/main/CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.

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Our project welcomes external contributions. If you have an itch, please feel
free to scratch it.
To contribute code or documentation, please submit a [pull request](https://github.com/docling-project/docling/pulls).
A good way to familiarize yourself with the codebase and contribution process is
to look for and tackle low-hanging fruit in the [issue tracker](https://github.com/docling-project/docling/issues).
Before embarking on a more ambitious contribution, please quickly [get in touch](#communication) with us.
For general questions or support requests, please refer to the [discussion section](https://github.com/docling-project/docling/discussions).
**Note: We appreciate your effort and want to avoid situations where a contribution
requires extensive rework (by you or by us), sits in the backlog for a long time, or
cannot be accepted at all!**
### Proposing New Features
If you would like to implement a new feature, please [raise an issue](https://github.com/docling-project/docling/issues)
before sending a pull request so the feature can be discussed. This is to avoid
you spending valuable time working on a feature that the project developers
are not interested in accepting into the codebase.
### Fixing Bugs
If you would like to fix a bug, please [raise an issue](https://github.com/docling-project/docling/issues) before sending a
pull request so it can be tracked.
### Merge Approval
The project maintainers use LGTM (Looks Good To Me) in comments on the code
review to indicate acceptance. A change requires LGTMs from two of the
maintainers of each component affected.
For a list of the maintainers, see the [MAINTAINERS.md](MAINTAINERS.md) page.
## Legal
Each source file must include a license header for the MIT
Software. Using the SPDX format is the simplest approach,
e.g.
```
/*
Copyright IBM Inc. All rights reserved.
SPDX-License-Identifier: MIT
*/
```
We have tried to make it as easy as possible to make contributions. This
applies to how we handle the legal aspects of contribution. We use the
same approach - the [Developer's Certificate of Origin 1.1 (DCO)](https://github.com/hyperledger/fabric/blob/master/docs/source/DCO1.1.txt) - that the Linux® Kernel [community](https://elinux.org/Developer_Certificate_Of_Origin)
uses to manage code contributions.
We simply ask that when submitting a patch for review, the developer
must include a sign-off statement in the commit message.
Here is an example Signed-off-by line, which indicates that the
submitter accepts the DCO:
```
Signed-off-by: John Doe <john.doe@example.com>
```
You can include this automatically when you commit a change to your
local git repository using the following command:
```
git commit -s
```
### New dependencies
This project strictly adheres to using dependencies that are compatible with the MIT license to ensure maximum flexibility and permissiveness in its usage and distribution. As a result, dependencies licensed under restrictive terms such as GPL, LGPL, AGPL, or similar are explicitly excluded. These licenses impose additional requirements and limitations that are incompatible with the MIT license's minimal restrictions, potentially affecting derivative works and redistribution. By maintaining this policy, the project ensures simplicity and freedom for both developers and users, avoiding conflicts with stricter copyleft provisions.
## Communication
Please feel free to connect with us using the [discussion section](https://github.com/docling-project/docling/discussions).
For more details on the contributing guidelines head to the Docling Project [community repository](https://github.com/docling-project/community).
## Developing

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- Christoph Auer - [@cau-git](https://github.com/cau-git)
- Michele Dolfi - [@dolfim-ibm](https://github.com/dolfim-ibm)
- Maxim Lysak - [@maxmnemonic](https://github.com/maxmnemonic)
- Nikos Livathinos - [@nikos-livathinos](https://github.com/nikos-livathinos)
- Ahmed Nassar - [@nassarofficial](https://github.com/nassarofficial)
- Panos Vagenas - [@vagenas](https://github.com/vagenas)
- Peter Staar - [@PeterStaar-IBM](https://github.com/PeterStaar-IBM)

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[![License MIT](https://img.shields.io/github/license/docling-project/docling)](https://opensource.org/licenses/MIT)
[![PyPI Downloads](https://static.pepy.tech/badge/docling/month)](https://pepy.tech/projects/docling)
[![Docling Actor](https://apify.com/actor-badge?actor=vancura/docling?fpr=docling)](https://apify.com/vancura/docling)
[![LF AI & Data](https://img.shields.io/badge/LF%20AI%20%26%20Data-003778?logo=linuxfoundation&logoColor=fff&color=0094ff&labelColor=003778)](https://lfaidata.foundation/projects/)
Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem.
@ -120,9 +121,13 @@ If you use Docling in your projects, please consider citing the following:
The Docling codebase is under MIT license.
For individual model usage, please refer to the model licenses found in the original packages.
## IBM ❤️ Open Source AI
## LF AI & Data
Docling has been brought to you by IBM.
Docling is hosted as a project in the [LF AI & Data Foundation](https://lfaidata.foundation/projects/).
### IBM ❤️ Open Source AI
The project was started by the AI for knowledge team at IBM Research Zurich.
[supported_formats]: https://docling-project.github.io/docling/usage/supported_formats/
[docling_document]: https://docling-project.github.io/docling/concepts/docling_document/

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[![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)](https://opensource.org/licenses/MIT)
[![PyPI Downloads](https://static.pepy.tech/badge/docling/month)](https://pepy.tech/projects/docling)
[![LF AI & Data](https://img.shields.io/badge/LF%20AI%20%26%20Data-003778?logo=linuxfoundation&logoColor=fff&color=0094ff&labelColor=003778)](https://lfaidata.foundation/projects/)
Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem.
@ -25,12 +26,12 @@ Docling simplifies document processing, parsing diverse formats — including ad
* 🔒 Local execution capabilities for sensitive data and air-gapped environments
* 🤖 Plug-and-play [integrations][integrations] incl. LangChain, LlamaIndex, Crew AI & Haystack for agentic AI
* 🔍 Extensive OCR support for scanned PDFs and images
* 🥚 Support of Visual Language Models ([SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview))
* 💻 Simple and convenient CLI
### Coming soon
* 📝 Metadata extraction, including title, authors, references & language
* 📝 Inclusion of Visual Language Models ([SmolDocling](https://huggingface.co/blog/smolervlm#smoldocling))
* 📝 Chart understanding (Barchart, Piechart, LinePlot, etc)
* 📝 Complex chemistry understanding (Molecular structures)
@ -43,9 +44,13 @@ Docling simplifies document processing, parsing diverse formats — including ad
<a href="reference/document_converter/" class="card"><b>Reference</b><br />See more API details</a>
</div>
## IBM ❤️ Open Source AI
## LF AI & Data
Docling has been brought to you by IBM.
Docling is hosted as a project in the [LF AI & Data Foundation](https://lfaidata.foundation/projects/).
### IBM ❤️ Open Source AI
The project was started by the AI for knowledge team at IBM Research Zurich.
[supported_formats]: ./usage/supported_formats.md
[docling_document]: ./concepts/docling_document.md