Advanced

Advanced RAG and Knowledge Systems

Build sophisticated RAG systems with advanced retrieval strategies, query optimization, and knowledge synthesis. Learn about state-of-the-art approaches.

Estimated Time 30 hours

Introduction

Build sophisticated RAG systems with advanced retrieval strategies, query optimization, and knowledge synthesis. Learn about state-of-the-art approaches.

4 Lessons
30h Est. Time
4 Objectives
1 Assessment

By completing this module you will be able to:

Implement multi-hop retrieval and reasoning
Build knowledge graphs and entity extraction
Optimize retrieval with re-ranking and hybrid search
Create domain-specific retrieval systems

Lessons

Work through each lesson in order. Each one builds on the concepts from the previous lesson.

1

Multi-Modal and Multi-Index RAG

55 min

Start Lesson
2

Agentic RAG and Self-Correcting Systems

55 min

Start Lesson
3

RAG with LlamaIndex

50 min

Start Lesson
4

Building Knowledge-Intensive Applications

50 min

Start Lesson

Recommended Reading

Supplement your learning with these selected chapters from the course library.

📖

Unlocking Data with Generative AI and RAG

Chapters 8-15

📖

RAG-Driven Generative AI

Chapters 6-12

Module Assessment

Advanced RAG and Knowledge Systems

Question 1 of 3

What is multi-hop retrieval and when is it necessary?