AI Collaborative Workspace
Full-stack graduation project with a context-aware AI assistant and multi-source RAG pipeline for organizational collaboration.
The Problem
Organizations need AI assistants that understand their specific context, not generic chatbots. Knowledge is scattered across documents, databases, and team communications.
Architecture & Approach
Building a multi-source RAG pipeline with PostgreSQL/pgvector for grounded answers from organizational documents, files, and databases. FastAPI microservices architecture allows each service to scale independently.
Key Technical Decisions
pgvector over dedicated vector DB
Keeps everything in one database, simplifies deployment and operations. PostgreSQL is battle-tested for production workloads.
FastAPI microservices architecture
Each service (auth, documents, AI, collaboration) scales independently. A spike in AI queries doesn't affect document uploads.
Results
Ongoing graduation project with context-aware AI assistance for organizational collaboration.