Free Lesson
Design a Production RAG System Live
30 min
Aug 10, 2026 4:15 PM
Virtual (Zoom)
In this video
What you'll learn
Structure a RAG design from sources to evaluation
Follow a six-part outline that covers what interviewers and production both demand.
Diagnose why retrieval returns the wrong chunks
Work through the three causes of bad retrieval and the fix for each one.
Name the failure modes before you are asked
Cover staleness, chunk boundaries and ranking so the follow-up questions land easy.
Why this topic matters
Ask an AI engineer to design a RAG system and you learn everything about them in ten minutes. Weak answers stay at the prompt layer. Strong ones walk through data sources, chunking, retrieval quality, ranking, evaluation and the ways it fails. This is the most common opener in AI engineering interviews and the most common thing built badly in production.

