KnowFlow AI — AI-Powered Document Q&A

KnowFlow AI is an AI workplace assistant that transforms static, dense documents into interactive knowledge sources using Retrieval-Augmented Generation (RAG). People often lose hours manually searching through PDFs, manuals, and reports, and standard AI chatbots risk hallucinating facts when they lack real document grounding. KnowFlow AI solves this by letting users upload PDF or text documents, which are automatically parsed, chunked, embedded, and indexed for fast semantic search. Users can then ask natural-language questions and receive concise, accurate answers with citations pointing directly to the source document and excerpt, so every answer is verifiable. The app features secure authentication with per-user data isolation, a document management dashboard with processing status tracking, persistent chat history, and a clean, responsive UI. Under the hood, the frontend is built with React, TypeScript, and Vite, styled with Tailwind CSS and shadcn/ui. The backend runs entirely on Supabase — using Postgres with pgvector for vector storage and semantic search, Supabase Storage for document files, Supabase Auth for secure login, and Supabase Edge Functions for server-side processing. Embeddings and chat completions are powered by the AIML API (OpenAI-compatible), using text-embedding-3-small and GPT-4o-mini. The result is a fast, secure, and genuinely useful tool for anyone who needs instant, trustworthy answers from their own documents.