Beginner

Introduction to RAG

Learn how to build effective and modern Retrieval Augmented Generation (RAG) systems.

2h 22m

30 lessons

Last updated: January 2026

30 lessons

2h 22m of content

Certificate of completion

Community access

What you'll learn

Learn the building blocks to build effective RAG systems

Apply best practices and popular methods to build and enhance complex RAG systems

Learn a systematic framework for how to improve RAG systems by implementing diverse use cases

This course includes

30 lessons

2h 22m of content

Certificate of completion

Community access

Course Curriculum

10 modules • 30 lessons • 2h 22m total

Course Introduction

2 lessons • 4m

Course Introduction

4:14

Course Tips

Introduction to RAG

4 lessons • 9m

What is RAG?

1:39

RAG Components

1:39

Why do we need RAG?

3:40

RAG Common Use Cases

2:26

Introduction to Flowise AI

2 lessons • 9m

Introduction to Flowise AI

4:10

Create a Basic Chatflow

5:47

RAG Architecture

6 lessons • 19m

Introduction to RAG Architecture

2:40

Chunking

3:04

Embedding Model

1:36

What is Semantic Search?

4:00

Retriever

2:32

Generator & RAG Enhancements

5:14

Build Your First RAG System

2 lessons • 13m

Important Flowise Cloud Update

Build a RAG System from Scratch

13:49

Build a RAG Chat Assistant

4 lessons • 29m

RAG Chat Assistant

1:40

Build a Document Store

10:28

Build a RAG Chat Assistant

8:46

Query Expansion

8:46

Advanced RAG

3 lessons • 19m

Advanced RAG System

6:23

Chain-of-Thought Prompting

5:16

RAG + Tool Calling

7:59

Agentic RAG

3 lessons • 18m

What is Agentic RAG?

2:32

What is Function Calling?

2:14

Build an Agentic RAG System

14:11

Deploy a RAG App

3 lessons • 10m

Required Reading

Creating an Online Document Store

3:25

Online RAG Application

6:56

Conclusions

1 lessons • 7m

Conclusions

7:49

30 lessons

2h 22m of content

Certificate of completion

Community access