LangExtract: An LLM-Powered Structured Information Extraction Library

LangExtract is a powerful Python library that leverages large language models (LLMs) to extract structured information from unstructured text documents. It processes materials like clinical notes and reports, precisely identifying and organizing key details while ensuring extracted data perfectly matches the source text. Supporting various LLMs including Google Gemini, LangExtract boasts long-document handling, interactive visualization, and simplifies complex information extraction tasks with minimal code, revolutionizing data processing workflows.