This is the Linux app named LangExtract whose latest release can be downloaded as v1.0.9sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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LangExtract
DESCRIPTION
LangExtract is a Python library developed by Google that leverages large language models (LLMs) to extract structured information from unstructured text—such as clinical notes, research papers, or literary works—based on user-defined instructions. It is designed to transform free-form text into reliable, schema-constrained data while maintaining traceability back to the source material. Each extracted entity is precisely grounded in its original context, allowing visual inspection and validation via automatically generated interactive HTML visualizations. LangExtract supports a wide range of models, including Google Gemini, OpenAI GPT, and local LLMs via Ollama, making it adaptable to different deployment environments and compliance needs. The system excels at handling long documents using optimized chunking, multi-pass extraction, and parallel processing to ensure both high recall and structured consistency.
Features
- Precise source grounding for traceable, verifiable extractions
- Schema-based structured outputs guided by few-shot examples
- Optimized for long documents via chunking, multi-pass analysis, and parallelism
- Interactive visualization in self-contained HTML for review and validation
- Compatible with Gemini, OpenAI, and Ollama models (local and cloud)
- Domain-agnostic and adaptable to new use cases without fine-tuning
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/langextract.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
