LangExtract: A Gemini powered information extraction library
9 months ago
- #LLM
- #text-processing
- #data-extraction
- LangExtract is a new open-source Python library for extracting structured information from unstructured text using LLMs.
- It provides a lightweight interface to various LLMs, including Gemini models, ensuring flexibility and traceability.
- LangExtract can be used in various domains like medicine, finance, engineering, or law for information extraction.
- The library allows defining extraction tasks with prompts and examples, and outputs structured data in JSONL format.
- It includes visualization tools for viewing annotations, useful for demos or evaluating extraction quality.
- LangExtract was initially applied to medical information extraction, such as identifying medications and dosages.
- An interactive demo, RadExtract, showcases LangExtract's capability in structured radiology reporting.
- The library is available on GitHub with detailed documentation and examples for developers to explore.