Builder Bootcamp: RAG

In this session, you’ll learn how to build a retrieval-augmented generation pipeline using OpenAI’s File Search, Responses, and Evals APIs. We’ll walk through how to structure source content, create a vector store, retrieve relevant context, and generate grounded answers.

You’ll also learn how to evaluate answer quality, tune retrieval behavior, and use evals to understand whether your system is returning accurate, useful responses. This session is geared toward builders working on knowledge assistants, support workflows, or any application that needs to ground answers in trusted content.