Free, open-source LLM framework for easier, faster extraction of structured data and insights from documents
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ContextGem

Free, open-source LLM framework for easier, faster extraction of structured data and insights from documents

ContextGem is a free, open-source LLM framework for easier, faster extraction of structured data and insights from documents through powerful abstractions. šŸ’Ž Why ContextGem? Most popular LLM frameworks for extracting structured data from documents require extensive boilerplate code to extract even basic information. This significantly increases development time and complexity. ContextGem addresses this challenge by providing a flexible, intuitive framework that extracts structured data and insights from documents with minimal effort. Complex, most time-consuming parts are handled with powerful abstractions, eliminating boilerplate code and reducing development overhead. šŸ’” With ContextGem, you can: - Extract structured data from documents (text, images) with minimal code - Identify and analyze key aspects (topics, themes, categories) within documents - Extract specific concepts (entities, facts, conclusions, assessments) from documents - Build complex extraction workflows through a simple, intuitive API - Create multi-level extraction pipelines (aspects containing concepts, hierarchical aspects) ⭐ Key features Most time-consuming parts of extraction workflow are abstracted away. ContextGem provides the following built-in abstractions: - Automated dynamic prompts - Automated data modelling and validators - Precise granular reference mapping (paragraphs & sentences) - Justifications (reasoning backing the extraction) - Neural segmentation (SaT) - Multilingual support (I/O without prompting) - and more! šŸ“¦ Installation pip install -U contextgem šŸ¤– ContextGem supports both cloud-based and local LLMs through LiteLLM integration: - Cloud LLMs: OpenAI, Anthropic, Google, Azure OpenAI, and more - Local LLMs: Run models locally using providers like Ollama, LM Studio, etc. - Simple API: Unified interface for all LLMs with easy provider switching šŸ”— For more information, please visit the linked GitHub repo. If you are a Python developer, please try it! Your feedback would be much appreciated! And if you like the project, please give it a ⭐ to help it grow. Let's make ContextGem the most effective tool for extracting structured information from documents!

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Comments, support and feedback

  • Charanjit Singh
    4 days ago
    This comment has been deleted.
  • Sergii Shcherbak
    10 days ago

    ContextGem on GitHub: https://github.com/shcherbak-ai/contextgem ContextGem documentation: https://contextgem.dev/ Example pipeline for NDA data extraction (Google Colab): https://colab.research.google.com/drive/1jJhU05pv26v_G4Vj3Pg5-qlZfXxSEjPo?usp=sharing

About this launch

ContextGem was launched by Sergii Shcherbak in April 8th 2025.

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