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Hyper-Extract
yifanfeng97/Hyper-Extract
Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
★3.2kstars
Python
NOASSERTION
Updated: Today
📋 Project at a Glance
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What's this?Data & Infrastructure project leveraging ai-agents and cli, built with Python, open-source
Who made it?Maintained by yifanfeng97 team, 3.2K⭐ on GitHub, #546 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the yifanfeng97 team identified the need for better ai-agents solutions. Hyper-Extract was created to simplify cli workflows.
What can it do?Key use cases: hypergraph, information-extraction, knowledge
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/yifanfeng97/Hyper-Extract | 官网 https://yifanfeng97.github.io/Hyper-Extract/
🔗 github.com/yifanfeng97/Hyper-Extract | 官网 https://yifanfeng97.github.io/Hyper-Extract/
Topics
aiai-agentsclihypergraphinformation-extractionknowledgeknowledge-graphllmpythonrag