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enoch3712 authored Nov 13, 2024
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Expand Up @@ -27,10 +27,7 @@ ExtractThinker is a flexible document intelligence tool that leverages Large Lan
- **Splitting Strategies**: Implement lazy or eager splitting strategies to process documents page by page or as a whole.
- **Integration with LLMs**: Easily integrate with different LLM providers like OpenAI, Anthropic, Cohere, and more.
- **Community-driven Development**: Inspired by the LangChain ecosystem with a focus on intelligent document processing.

<p align="center">
<img src="https://github.com/enoch3712/Open-DocLLM/assets/9283394/996fb2de-0558-4f13-ab3d-7ea56a593951" alt="Extract Thinker Infrastructure Diagram" width="600"/>
</p>
![image](https://github.com/user-attachments/assets/844b425c-0bb7-4abc-9d08-96e4a736d096)

## 📦 Installation

Expand Down Expand Up @@ -286,9 +283,7 @@ ExtractThinker uses a modular architecture inspired by the LangChain ecosystem:
- **Classifications**: Classify documents or document sections to apply appropriate extraction contracts.
- **Processes**: Manage the workflow of loading, classifying, splitting, and extracting data from documents.

<p align="center">
<img src="https://github.com/enoch3712/Open-DocLLM/assets/9283394/b1b8800c-3c55-4ee5-92fe-b8b663c7a81f" alt="Extract Thinker Components Diagram" width="500"/>
</p>
![image](https://github.com/user-attachments/assets/b12ba937-20a8-47da-a778-c126bc1748b3)

## 📝 Why Use ExtractThinker?

Expand All @@ -313,7 +308,12 @@ We welcome contributions from the community! To contribute:

Stay updated and connect with the community:

- [Author's Medium](https://medium.com/@enoch3712)
- [Claude 3.5 — The King of Document Intelligence](https://medium.com/gitconnected/claude-3-5-the-king-of-document-intelligence-f57bea1d209d?sk=124c5abb30c0e7f04313c5e20e79c2d1)
- [Classification Tree for LLMs](https://medium.com/gitconnected/classification-tree-for-llms-32b69015c5e0?sk=8a258cf74fe3483e68ab164e6b3aaf4c)
- [Advanced Document Classification with LLMs](https://medium.com/gitconnected/advanced-document-classification-with-llms-8801eaee3c58?sk=f5a22ee72022eb70e112e3e2d1608e79)
- [Phi-3 and Azure: PDF Data Extraction | ExtractThinker](https://medium.com/towards-artificial-intelligence/phi-3-and-azure-pdf-data-extraction-extractthinker-cb490a095adb?sk=7be7e625b8f9932768442f87dd0ebcec)
- [ExtractThinker: Document Intelligence for LLMs](https://medium.com/towards-artificial-intelligence/extractthinker-ai-document-intelligence-with-llms-72cbce1890ef)

- [GitHub Issues](https://github.com/enoch3712/Open-DocLLM/issues)

## 📄 License
Expand All @@ -322,4 +322,4 @@ This project is licensed under the Apache License 2.0. See the LICENSE file for

## Contact

For any questions or issues, please open an issue on the GitHub repository or reach out via email.
For any questions or issues, please open an issue on the GitHub repository or reach out via email.

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