GH Repository · yifanfeng97
Hyper-Extract
Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
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Pythonai-agentspython/uvpythonknowledgeinformation-extractionragclillmknowledge-graphhypergraphai
Hyper-Extract is a Python CLI tool by yifanfeng97 that uses LLMs to turn unstructured text into structured knowledge. It supports extraction into graphs, hypergraphs, and spatio-temporal structures, positioning hypergraphs as more expressive than plain graphs.
You want one-command LLM-based knowledge extraction with hypergraph output rather than only standard graphs.
Use it to
- Extract knowledge graphs from unstructured text with an LLM
- Build hypergraph representations of documents
- Run spatio-temporal information extraction
- Feed extracted structures into RAG pipelines
For Python developers building LLM extraction or RAG systems
- Role
- rag
- Language
- Python
- Licence
- custom (licence file present)
- Forks
- 453
- Last push
- 2026-09-15
- Latest release
- v0.1.1 · 2026-04-04
topicsllmhypergraphinformation-extractionknowledge-graphragcli