Overview

Raia Technologies developed ChatProdigy, a platform that makes it simple for businesses to create custom AI chatbots trained on their own documentation. Users can upload PDFs, web pages, or internal knowledge bases, and in minutes have a chatbot capable of answering questions directly from that data.

The Build

We built the platform using Bubble for rapid development and Pinecone for vector database management, enabling fast and accurate semantic search across uploaded documents. The chatbot experience itself was powered by the OpenAI ChatGPT API, with Python scripts supporting key backend tasks like embedding generation and data preprocessing. For monetization, we integrated Stripe to handle subscription payments and usage-based billing.

From MVP to Production

Our focus was on making the process seamless: upload data, generate embeddings, connect to the chatbot, and share access. Within a short timeframe, ChatProdigy supported features like public links, widget embedding, and account-level libraries — all through a simple, ChatGPT-like interface.

The Outcome

ChatProdigy gave businesses a plug-and-play way to transform static documentation into interactive AI assistants. From customer support to onboarding and technical documentation, the platform delivered an easy-to-use, scalable solution that brought the power of LLMs directly into everyday workflows.