MVP: AI Document Assistant

Develop an MVP web application that allows users to upload documents and interact with them through an AI-powered chat interface. The goal is to provide fast access to information stored in company documents using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). Core Features Authentication User registration and login Document Management Upload PDF files View uploaded documents Delete documents AI Chat Ask questions about uploaded documents Context-aware responses based on document content Conversation history Search Semantic search across uploaded documents Relevant source retrieval Technology Stack Frontend: Next.js / TypeScript Backend: Node.js / NestJS Database: PostgreSQL AI: OpenAI, LangChain, Vector Database (pgvector), Deliverables: Working MVP Responsive UI Document upload functionality AI-powered document assistant Basic user management Deployment-ready application Goal Enable users to quickly find information and interact with company knowledge through an AI assistant instead of manually searching through documents.