Update README and add Orion Document Understanding notebook

[shahrear33]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @shahrear33, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request expands the VLM Run Cookbook by introducing a new example notebook focused on Orion's document understanding features, providing users with a practical demonstration of extracting structured data from documents. Concurrently, the main README file has been updated to reflect this new addition and enhance its overall readability through minor formatting adjustments.

Highlights

• New Notebook Added: A new Colab notebook, 'Orion Document Understanding', has been added to the cookbook, showcasing advanced document processing capabilities.
• README Update: The README.md file has been updated to include the new 'Orion Document Understanding' notebook in the list of available examples and received minor formatting improvements.

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[gemini-code-assist]

Code Review

This pull request adds a new 'Orion Document Understanding' notebook to the README.md and makes some formatting improvements. My review focuses on improving the structure and correctness of the notebook table. I've suggested reordering the notebooks for better readability and fixing a potential typo in the notebook numbering.

[gemini-code-assist]

The table of notebooks seems to have grown organically and the order is a bit confusing. Since you're modifying it, this is a good opportunity to reorder the entries for better readability. I'd suggest grouping them by Type (feature, application, showcase) and then sorting them numerically. I've also noticed a duplicate notebook number 12 for 'Orion Image Understanding' and 'Orion Video Understanding'. I've corrected the latter to 13 assuming it's a typo, which makes sense with your addition of notebook 14.

Suggested change

	| [API Quickstart](./notebooks/00_quickstart.ipynb) | | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/00_quickstart.ipynb) | 02-08-2025 |
	| [Schema Showcase](./notebooks/01_schema_showcase.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/01_schema_showcase.ipynb) | 02-08-2025 |
	| [Visual Grounding](./notebooks/04_visual_grounding.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/04_visual_grounding.ipynb) | 02-18-2025 |
	| [Long-form Video Transcription](./notebooks/advanced_video_transcription.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/advanced_video_transcription.ipynb) | 03-13-2025 |
	| [Video Inference (Fine-Tuning)](./notebooks/advanced_finetuning_video_inference.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/advanced_finetuning_video_inference.ipynb) | 02-18-2025 |
	| [US Drivers License](./notebooks/02_case_study_drivers_license.ipynb) | <kbd>application</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/02_case_study_drivers_license.ipynb) | 02-08-2025 |
	| [Parsing Financial Presentations](https://colab.research.google.com/drive/15_iRDucKj2I33p3m5X3ULdXby_DHWgjS) | <kbd>application</kbd> | [](https://colab.research.google.com/drive/15_iRDucKj2I33p3m5X3ULdXby_DHWgjS) | 02-04-2025 |
	| [TV News Analysis](./notebooks/03_case_study_tv_news.ipynb) | <kbd>application</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/03_case_study_tv_news.ipynb) | 02-15-2025 |
	| [Fashion Product Catalog](./notebooks/05_case_study_image_catalogue.ipynb) | <kbd>application</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/05_case_study_image_catalogue.ipynb) | 02-20-2025 |
	| [Fashion Images Hybrid Search](./notebooks/06_fashion_images_hybrid_search.ipynb) | <kbd>application</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/06_fashion_images_hybrid_search.ipynb) | 02-21-2025 |
	| [Generate Custom Schema](./notebooks/07_generate_schema.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/07_generate_schema.ipynb) | 03-13-2025 |
	| [Document Markdown Extraction](./notebooks/08_document_markdown.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/08_document_markdown.ipynb) | 06-02-2025 |
	| [Video RAG](./notebooks/11_video_rag.ipynb) | <kbd>application</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/11_video_rag.ipynb) | 07-14-2025 |
	| [Orion Image Understanding](./notebooks/12_orion_image_understanding.ipynb) | <kbd>showcase</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/12_orion_image_understanding.ipynb) | 12-01-2025 |
	| [Orion Video Understanding](./notebooks/12_orion_video_understanding.ipynb) | <kbd>showcase</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/12_orion_video_understanding.ipynb) | 12-02-2025 |
	| [Orion Document Understanding](./notebooks/14_orion_document_understanding.ipynb) | <kbd>showcase</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/14_orion_document_understanding.ipynb) | 12-03-2025 |
	| [API Quickstart](./notebooks/00_quickstart.ipynb) | | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/00_quickstart.ipynb) | 02-08-2025 |
	| [Schema Showcase](./notebooks/01_schema_showcase.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/01_schema_showcase.ipynb) | 02-08-2025 |
	| [Visual Grounding](./notebooks/04_visual_grounding.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/04_visual_grounding.ipynb) | 02-18-2025 |
	| [Generate Custom Schema](./notebooks/07_generate_schema.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/07_generate_schema.ipynb) | 03-13-2025 |
	| [Document Markdown Extraction](./notebooks/08_document_markdown.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/08_document_markdown.ipynb) | 06-02-2025 |
	| [Long-form Video Transcription](./notebooks/advanced_video_transcription.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/advanced_video_transcription.ipynb) | 03-13-2025 |
	| [Video Inference (Fine-Tuning)](./notebooks/advanced_finetuning_video_inference.ipynb) | <kbd>feature</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/advanced_finetuning_video_inference.ipynb) | 02-18-2025 |
	| [US Drivers License](./notebooks/02_case_study_drivers_license.ipynb) | <kbd>application</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/02_case_study_drivers_license.ipynb) | 02-08-2025 |
	| [TV News Analysis](./notebooks/03_case_study_tv_news.ipynb) | <kbd>application</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/03_case_study_tv_news.ipynb) | 02-15-2025 |
	| [Fashion Product Catalog](./notebooks/05_case_study_image_catalogue.ipynb) | <kbd>application</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/05_case_study_image_catalogue.ipynb) | 02-20-2025 |
	| [Fashion Images Hybrid Search](./notebooks/06_fashion_images_hybrid_search.ipynb) | <kbd>application</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/06_fashion_images_hybrid_search.ipynb) | 02-21-2025 |
	| [Video RAG](./notebooks/11_video_rag.ipynb) | <kbd>application</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/11_video_rag.ipynb) | 07-14-2025 |
	| [Parsing Financial Presentations](https://colab.research.google.com/drive/15_iRDucKj2I33p3m5X3ULdXby_DHWgjS) | <kbd>application</kbd> | [](https://colab.research.google.com/drive/15_iRDucKj2I33p3m5X3ULdXby_DHWgjS) | 02-04-2025 |
	| [Orion Image Understanding](./notebooks/12_orion_image_understanding.ipynb) | <kbd>showcase</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/12_orion_image_understanding.ipynb) | 12-01-2025 |
	| [Orion Video Understanding](./notebooks/13_orion_video_understanding.ipynb) | <kbd>showcase</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/13_orion_video_understanding.ipynb) | 12-02-2025 |
	| [Orion Document Understanding](./notebooks/14_orion_document_understanding.ipynb) | <kbd>showcase</kbd> | [](https://colab.research.google.com/github/vlm-run/vlmrun-cookbook/blob/main/notebooks/14_orion_document_understanding.ipynb) | 12-03-2025 |