Karun Thankachan
Sai Kumar Bysani
Dr. Aki Wijesundara
Lan Chu
Free Lesson

Master RAG in 45 minutes

45 min
Aug 23, 2026 5:00 PM

What you'll learn

Structure documents so retrieval actually works

Choose chunking and metadata that hold meaning together instead of splitting it apart.

Build the retrieval and ranking layer

Move past basic similarity search to hybrid retrieval and reranking that surfaces the right passage.

Measure retrieval quality with real numbers

Score retrieval directly, so you know the system is working before users tell you it is not

Diagnose the three ways RAG fails in production

Recognise chunking, retrieval and staleness failures from the symptoms users report.

Why this topic matters

Most teams have RAG running and quietly know it is not good enough. Answers are vague, citations are wrong, and nobody can say why. The instinct is to swap the model or rewrite the prompt, which rarely helps, because the failure is almost always in chunking, retrieval or the absence of any real measurement. Three engineers build the whole pipeline properly, in one session.

You'll learn from

Karun Thankachan

Karun Thankachan

Senior Data Scientist, Walmart

Google
Meta
OpenAI
Amazon Web Services
NVIDIA
Sai Kumar Bysani

Sai Kumar Bysani

Lead Data Analyst, BlueCross BlueShield

Dr. Aki Wijesundara

Dr. Aki Wijesundara

Co-Founder, Snapdrum · Senior AI Advisor, United Nations

Lan Chu

Lan Chu

Principal AI Engineer, Manning book's author

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