Microsoft Reactor

You’ve just launched the first version of your AI application and gained your first users. If you’re at this stage, congratulations! You’ve hit initial traction, but new challenges are just around the corner. AI apps need to handle data securely and efficiently to serve even more customers. This talk introduces a simple and powerful solution: using a “database-per-tenant” model for vector-based AI apps. We’ll showcase a real-world example of this architecture in action. You’ll see a full-stack Azure AI Chat app built with Neon serverless Postgres, Azure OpenAI, NextJS, Typescript, Azure Document Intelligence.