OpenAI Academy Builder Bootcamp: RAG

Retrieval-augmented generation is the standard pattern for grounding AI answers in trusted content, and this OpenAI Academy Builder Bootcamp session is a practical walkthrough of building one. Deployment engineers Benedict Kerres, Lakshya Dhar, and Marcus Stallworth show how to structure source content, create a vector store, retrieve relevant context, and generate grounded answers using OpenAI's File Search, Responses, and Evals APIs.

The session also covers evaluating answer quality, tuning retrieval behaviour, and using evals to check whether the system is returning accurate, useful responses. It is geared toward builders working on knowledge assistants, support workflows, or any application that needs to ground answers in a corpus rather than rely on the model's parametric memory. The livestream is free; register through OpenAI Academy.