tvlnsiva/graphrag-engineering-pdfs
Ontology, and Knowledge graph based RAG that uses local LLM.
This tool helps engineers, researchers, and technical writers transform large, complex engineering PDFs into structured knowledge graphs. It extracts key entities and relationships, organizes them into an ontology, and then uses this structure to generate accurate technical documentation automatically. The output is a clear, searchable knowledge graph and well-structured DOCX/PDF documentation, making it easier to understand and utilize information from extensive technical documents.
Use this if you need to build a structured knowledge base from large collections of technical or engineering PDFs and automatically generate comprehensive documentation.
Not ideal if your primary need is general text summarization or if your documents are not highly structured technical content.
Stars
27
Forks
4
Language
Python
License
—
Category
Last pushed
Jan 03, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/tvlnsiva/graphrag-engineering-pdfs"
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