graphaura

bring your memories back to life with graphaura. transform photos and docs into an ai-powered 3d knowledge graph of people, places, and moments to explore your memories and share insights.

repos

• graphaura: this monorepo with frontend and backend
• r2r: external service for ingestion, chunking, embeddings, and RAG

tech stack

• frontend: next.js, react, tailwind css, react-force-graph-3d
• backend: fastapi (python 3.13), structlog
• data: neo4j, postgresql + pgvector, redis
• ai: r2r for ingestion, NER, embeddings, and RAG

architecture

data flow

monorepo layout

graphaura/
  backend/        fastapi app, services, and apis
  frontend/       next.js app with 3d graph visualization

key endpoints

• GET /health - service health
• GET /metrics - vector and graph counts
• POST /api/v1/documents/upload - upload and process document via r2r
• GET /api/v1/documents/{id} - document metadata
• POST /api/v1/documents/create-graph - build graph from documents
• POST /api/v1/graph/entities - create entity
• GET /api/v1/graph/entities/{id} - fetch entity and relationships
• POST /api/v1/search/hybrid - hybrid search across documents and graph

Built With

• fastapi
• neo4j
• next.js
• pgvector
• r2r
• react-force-graph
• redis