Building a RAG-Powered AI ChatBot from Scratch
This Project52 build was a deep dive into creating a fully functional, multi-tenant AI chatbot platform using Retrieval-Augmented Generation (RAG). The goal: allow any business to train a chatbot on their internal documents, deploy it publicly, and capture leads all while keeping their data completely isolated and secure. We built everything from scratch including user authentication, lead classification, file-based knowledge ingestion, and admin dashboards combining FastAPI, LangChain, SQLite/PostgreSQL, and a custom React frontend. This wasn’t just a chatbot; it was the foundation for a scalable SaaS product that gives each business its own smart assistant.