LLM-IE Documentation

LLM-IE is a toolkit that provides robust information extraction utilities for named entity, entity attributes, and entity relation extraction. The flowchart below demonstrates the workflow:

1. Prompt engineering with LLM agent: Prompt Editor
2. Prompting algorithm design: Extractors
3. Visualization & Validation: Visualization
4. Repeat step #1-#3 until achieves high accuracy

For more information and benchmarks, please check our paper:

@article{hsu2025llm,
  title={LLM-IE: a python package for biomedical generative information extraction with large language models},
  author={Hsu, Enshuo and Roberts, Kirk},
  journal={JAMIA open},
  volume={8},
  number={2},
  pages={ooaf012},
  year={2025},
  publisher={Oxford University Press}
}