Graph Explorer
Relational Knowledge GraphA Next.js knowledge explorer powered by a GraphRAG pipeline over a graph database. Extracts entities, builds semantic relationship networks, and answers multi-hop relational questions that standard vector search misses.
Live previewinteractive mock — no backend
GraphRAG Explorer
Map your knowledge graph.
Answers read like a short article.
Stack
Frontend
Next.js
Architecture
GraphRAG
Framework
raw python
Vector DB
qdrant
Corpus
large
Complexity
Very high
How it works
The frontend talks only to the backend; your API keys + pipeline URL stay server-side.
Get started
cp .env.example .env # add your API key(s) docker compose up --build
cd backend python -m venv .venv && source .venv/bin/activate pip install -r requirements.txt cp .env.example .env # add your API key(s) python pipeline.py ingest ./corpus uvicorn serve:app --reload # http://localhost:8000
cd frontend npm install cp .env.local.example .env.local npm run dev # http://localhost:3000
The downloaded README.md has the full guide — vector DB setup, API keys, and deployment to Render/Railway + Vercel.
Project structure29 backend · 14 frontend · 47 files total
Ready to build?
Download the full monorepo and follow the README.