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Add bookmarks to README.md and generate new notebook #54

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4 changes: 3 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -116,6 +116,8 @@ The `extract_thinker` project is inspired by the LangChain ecosystem, featuring
| Notebook | Description |
|----------|-------------|
| [Basic Usage](examples/notebooks/basic_example.ipynb) | Basic usage of ExtractThinker with PyPDF loader and GPT-4o-mini for invoice data extraction |
| [Classify files Example](classification.ipynb) | Example of classifying files using ExtractThinker |
| [Splitting Files Example](splitting.ipynb) | Example of splitting files using ExtractThinker |

## Why Just Not LangChain?
While LangChain is a generalized framework designed for a wide array of use cases, extract_thinker is specifically focused on Intelligent Document Processing (IDP). Although achieving 100% accuracy in IDP remains a challenge, leveraging LLMs brings us significantly closer to this goal.
Expand All @@ -140,4 +142,4 @@ Júlio Almeida
This project is licensed under the Apache License 2.0. See the LICENSE file for more details.

## Contact
For any questions or issues, please open an issue on the GitHub repository.
For any questions or issues, please open an issue on the GitHub repository.
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