rahulnyk/knowledge_graph
Some data may be outdated — see provenance labels.
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA observed · 2026-09-26
Health v2 · maintenance only
68/100
- Activity 89
- Release rhythm 35
- Longevity 78
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1094
- days_rel: n/a
- days_push: 66
- n_releases_24m: 0
Adoption not part of the score
4087 stars · 634 forks observed · 2026-09-26
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A Python/Jupyter Notebook project that converts any text corpus into a knowledge graph by extracting concepts with an LLM and linking co-occurring concepts. It supports Graph Augmented Generation (GRAG) for QnA and includes graph visualization.
Use cases
- build a knowledge graph from a pdf document
- chat with my documents using graph rag
- extract concepts and relationships from text
- visualize a text corpus as a network graph
- run graph algorithms to find important concepts in a document
- create a knowledge graph without using openai api
When to avoid
- you need production-grade entity extraction with NER models
- you need a scalable graph database solution for enterprise data
- you need a polished application rather than notebook-based code
Facets
library · maturity active
nlp rag llm-inference data-visualization parser artificial-intelligence data-visualization developer-tools python cross-platform knowledge-graph graph-rag concept-extraction graph-visualization jupyter-notebook local-llm natural-language-processing retrieval-augmented-generation
1 source
- readme: https://github.com/rahulnyk/knowledge_graph · fetched 2026-09-26 · e93f9bd03c43
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| rahulnyk/knowledge_graph | main | 68 |
For agents
markdown · JSON · MCP: product_card(name="rahulnyk/knowledge_graph")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem