
2ndProduct of the week
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.
š 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.
š” 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)
ā 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!
š¦ Installation
pip install -U contextgem
š¤ 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
š 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 ā 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
- Sergii Shcherbak10 days agoMaker
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.
- 6Upvotes
- 2512Impressions
- #2Week rank