ContextGem is a free, open-source LLM framework that makes it radically easier to extract structured data and insights from documents with minimal code.
Features
Automated dynamic prompts
Automatically generates dynamic prompts for the extraction process, reducing the need for custom coding and allowing a more seamless setup.
Precise granular reference mapping
Maps references precisely at paragraph and sentence levels, ensuring that extracted data is easily traceable back to the original document context.
Justifications
Provides reasoning backing the data extraction, allowing users to understand why certain data was extracted and increasing transparency in the process.
Neural segmentation (SaT)
Uses advanced segmentation techniques to break down complex documents into manageable parts, enhancing the accuracy of data extraction.
Built-in concurrent I/O processing
Enables simultaneous input and output processing, speeding up the document analysis and extraction process.
DOCX converter
Includes a built-in converter for transforming DOCX files into LLM-ready data, capturing elements like misaligned tables and embedded images for richer analysis.