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yifanfeng97/Hyper-Extract

Quality: 8/10 Relevance: 9/10

Summary

Hyper-Extract is a Python-based, LLM-powered knowledge extraction framework that converts unstructured documents into structured knowledge representations such as knowledge graphs, hypergraphs, and spatio-temporal graphs. It offers 80+ YAML templates, 10+ extraction engines, and an interactive CLI, with support for local deployment via vLLM and multiple hosting options. The project emphasizes zero-code templates, extensibility, and incremental evolution of knowledge bases.

🚀 Service construit par Johan Denoyer