SAGE AI — Smart AI Guide for Education
Next.js 15, Supabase (PostgreSQL + pgvector), Ollama (Local LLM), RAG
Built a full-stack, RAG-based academic study assistant enabling students to query their own course materials and receive
grounded, source-cited answers from a private knowledge base.
Engineered a semantic retrieval pipeline with vector embeddings in pgvector, running LLMs fully on-device to eliminate API
costs and keep student data private.
Delivered as a 6-member team under academic supervision, owning the backend and AI-integration layers end-to-end.