ContextGem 1.0

ContextGem 1.0: ContextGem is an open-source framework that extracts structured data and insights from documents using LLMs and decision models.

ContextGem is a free, open-source framework that manages prompts, data models, source references, and justifications for document extraction with minimal code. It works with both LLMs and decision models, allowing each aspect and concept to route to the appropriate model with built-in fallbacks. Users describe what to extract rather than writing prompts, obtaining typed, validated outputs such as text, numbers, dates, booleans, labels, ratings, and JSON objects. Every extracted fact maps back to its source paragraph, sentence, or page, complete with optional justifications or probabilities. It integrates with Docling to process numerous file formats including PDF, DOCX, images, audio, and video.

ContextGem 1.0 at a glance

Best for: Software engineer, Researcher
Runs on: Python, API, self-hosted, open source
Pricing: Free and open-source
Released: October 2026
Category: AI research tool
Website: github.com/shcherbak-ai/contextgem

Key features

Extract structured data from documents using LLMs and decision models
Generate prompts automatically from descriptions
Trace every extracted fact back to its source
Support typed, validated outputs like text, numbers, and JSON
Process files using Docling across various formats
Run cloud or local models through LiteLLM
Use decision models for closed questions with probability outputs
Serialize and reuse declarative extraction pipelines

Use it for

Extract payment terms and anomalies from contracts
Classify document sections using decision models
Extract metadata during document ingestion
Provide verified extractions to agents as tools

Alternatives to ContextGem 1.0

ContextWire — Unifies 105 search engines with LLM extraction and zero query cost.
Hyper-Extract — Extracts complex knowledge graphs and hypergraphs from documents with one command.
CiteLLM — Links every AI answer to exact PDF passages with highlighted sources.
Scrape Anything by Context.dev — Extracts clean Markdown, HTML, and structured data with built-in proxies and JS rendering.
GraphRAG — Enhances LLM reasoning over private data using knowledge graph structures.
Clef — Offers low latency and high-speed classification for agentic workflows.
nerfguard-extract — Delivers frontier quality extraction for lower cost and faster speed.
DeepKE — It supports multi-modal, few-shot, and document-level extraction scenarios.
UltraRAG — Build complex RAG workflows using modular MCP components and YAML configuration.
Ncm — Generates text significantly faster than diffusion baselines while maintaining high quality.
WeKnora — Combines RAG, multi-step agents, and automatic Wiki generation in one platform.
Kotaemon — It offers an open-source, customizable interface for local and API-based document retrieval.

All ContextGem 1.0 alternatives