Building and Evaluating Advanced RAG

This free short course teaches advanced techniques for Retrieval Augmented Generation (RAG) systems. Taught by Jerry Liu (LlamaIndex CEO) and Anupam Datta (Snowflake), it covers sentence-window retrieval, auto-merging retrieval, and the RAG evaluation triad: Context Relevance, Groundedness, and Answer Relevance. The course runs approximately 1 hour 55 minutes with 6 video lessons and 4 code examples.

Product managers overseeing RAG-powered features benefit from understanding how retrieval quality impacts output quality and how to evaluate RAG systems. The evaluation framework helps PMs define success metrics and quality gates for AI features that rely on document retrieval.