{"repo":"shcherbak-ai/contextgem","free":true,"listed":false,"github":"https://github.com/shcherbak-ai/contextgem","clone":"git clone https://github.com/shcherbak-ai/contextgem.git","description":"ContextGem: Effortless LLM extraction from documents","language":"Python","stars":1987,"topics":["ai","contract-analysis","data-extraction","document-intelligence","generative-ai","legaltech","llm","llm-extraction","llm-framework","llm-pipeline"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"ContextGem: Effortless LLM extraction from documents ---------- -------- Package Quality Tools Docs Community 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? Reliable structured extraction from documents typically involves writing extraction prompts, designing validation models, mapping outputs back to source references, orchestrating multi-step pipelines, and tracking usage across LLMs. ContextGem handles all of this through powerful abstractions — you describe what to extract in natural language, and the framework handles how . The result: structured data with precise paragraph- and sentence-level references, automatic justifications, hierarchical multi-aspect extraction, and a unified, serializable document storage model — all from minimal code. 📖 Read more on the project motivation in the documentation. ⭐ Key features ✨ Automated dynamic prompts 📐 Automated data modelling 📍 Granular reference mapping 💭 Built-in justifications 🪆 Nested context extraction 🔗 Unified declarative pipeline 💡 What you can build With minimal code , you can: - Extract structured data from documents (text, images) - Identify and analyze key aspects (topics, themes, categories) within documents (learn more) - Extract specific concepts (entities, facts, conclusions, assessments) from documents (learn more) - Build complex extraction workflows through a simple, intui","default_branch":null,"files":null,"tree":[],"storefront":"/r/shcherbak-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/shcherbak-ai/contextgem/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}