chizhu/KGQA_HLM
基于知识图谱的《红楼梦》人物关系可视化及问答系统 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3042
- days_rel: n/a
- days_push: 2689
- n_releases_24m: 0
Adoption not part of the score
1336 stars · 317 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A knowledge-graph-based question answering and visualization system for character relationships in the Chinese classic novel 'Dream of the Red Chamber'. It uses Neo4j as the graph database, pyltp for Chinese NLP (segmentation, POS tagging, NER), and a Flask web app for the frontend.
Use cases
- visualize character relationships in Dream of the Red Chamber
- build a knowledge graph in Neo4j from extracted triples
- ask natural language questions about novel characters
- demo a Chinese KGQA pipeline with ltp NER
- learn how to combine web scraping, knowledge graphs, and QA
When to choose
- you need a reference implementation of Chinese knowledge-graph question answering
- you want to visualize literary character relationship networks
- you are teaching or learning KGQA with Neo4j and pyltp
When to avoid
- you need production-grade, maintained software with a license
- you need English-language QA or modern LLM-based QA
- you cannot set up Neo4j with JDK8 and older Python 3.6 dependencies
Facets
application · maturity maintenance
nlp search-engine data-visualization web-scraping chatbot databases web-development python self-hosted knowledge-graph kgqa neo4j question-answering dream-of-the-red-chamber chinese-nlp ltp character-relationships natural-language-processing search web-server
1 source
- readme: https://github.com/chizhu/KGQA_HLM · fetched 2026-08-28 · 69fc8943ec4b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| chizhu/KGQA_HLM | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem