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langextract

Official

Grounded structured data extraction from text.

Data & Analytics#OpenAI#LLM#Gemini#extract#structured-data#source-grounding#long-document
Authoraeonbridge
Version1.0.0
Installs0

System Documentation

What problem does it solve?

LangExtract enables precise, source-grounded extraction of structured data from unstructured text using large language models, with support for long documents and interactive visualization.

Core Features & Use Cases

  • Source grounding for exact text locations in documents
  • Long-document processing with intelligent chunking and multi-pass extraction
  • Interactive HTML visualization for review and validation
  • Flexible model support: Gemini, OpenAI, and local Ollama
  • Domain coverage including clinical notes, radiology reports, and literary analysis

Quick Start

Install LangExtract via pip, then craft a note, a prompt, and run lx.extract with a chosen model_id (e.g., gemini-2.0-flash-exp). Visualize results with lx.visualize to inspect extractions.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: langextract
Download link: https://github.com/aeonbridge/ab-anthropic-claude-skills/archive/main.zip#langextract

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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