💎 ContextGem: The Open-Source LLM Framework for Structured Data Extraction

ContextGem is a free, open-source LLM framework that makes it radically easier to extract structured data and insights from documents — with minimal code.

💡 Why ContextGem?

Most LLM frameworks require repetitive boilerplate to extract even basic fields. ContextGem eliminates that with powerful abstractions that handle prompt generation, validation, and reference tracking — so you can focus on what matters.

✨ Key Features

• Dynamic prompt generation

• Automatic data modeling & validation

• Granular reference mapping (paragraph/sentence level)

• Justification for every extraction

• Neural segmentation (SaT)

• Nested context extraction

• Supports multiple LLM providers

💡 With Minimal Code, You Can:

• Extract structured data from text and image-based documents

• Identify and analyze key aspects — topics, themes, categories

• Extract specific concepts like entities, facts, conclusions, and assessments

• Build complex, multi-stage extraction workflows with an intuitive API

• Create hierarchical pipelines (e.g., aspects containing nested concepts)

👉 Explore the project on GitHub.

🎥 See it in action: