Hands-on evaluation of retrieval-augmented generation for enterprise AI.

As retrieval-augmented generation (RAG) becomes more widely adopted in enterprise environments, the demand for robust evaluation frameworks grows. In this workshop, NVIDIA experts will walk you through how to test and validate RAG and semantic search systems against the high standards required in regulated industries.

You’ll gain a practical understanding of evaluation techniques — from domain-specific language and knowledge handling to temporal context, retrieval accuracy, and independent assessment of generation steps. The session combines theory with hands-on exercises so you can confidently measure and optimize the performance of RAG-enabled applications.

Prerequisites:
•Basic Python programming knowledge
•Familiarity with LLMs and RAG concepts
•Bring your laptop to participate actively in the workshop

Why attend:
To build the skills needed to robustly evaluate and validate RAG and semantic search systems in enterprise settings, ensuring compliance, reliability, and scalability.

Who should attend:
Developers, technical founders, and AI practitioners working with retrieval-augmented generation or semantic search who want to strengthen their evaluation capabilities.