zjunlp/OneKE

[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.

42
/ 100
Emerging

This system helps professionals like researchers, journalists, or analysts quickly extract structured information from unstructured text, such as web articles, news, or PDF documents. You provide raw text or files and define what type of information you're looking for (e.g., people, organizations, events, relationships). The system then outputs this data in a structured format, which can be visualized as a knowledge graph for easier understanding.

167 stars. No commits in the last 6 months.

Use this if you need to systematically convert large volumes of unstructured text into organized data, for tasks like building knowledge bases, competitive intelligence, or research data aggregation.

Not ideal if you only need simple keyword searching or if your data extraction requirements are very basic and don't involve complex relationships or entities.

knowledge-management information-extraction data-structuring research-automation content-analysis
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

167

Forks

18

Language

HTML

License

MIT

Last pushed

Jul 28, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/agents/zjunlp/OneKE"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.