RAG (Retrieval)
Learn how to build RAG systems and use retrieval methods in your AI apps & tools.
22 lessons
4h 32m
All levels
Course Curriculum
The outline for this course
Section 1: Learn the Basics
Learn about embeddings, vector databases, and similarity search.
6 lessons
1h 12m
1
Intro
9m
2
RAG Overview
12m
3
Code Setup
8m
4
Embeddings
12m
5
Vector Databases
20m
6
Similarity Search
8m
Section 2: Create a Complete RAG System
Build an end-to-end RAG system from scratch.
11 lessons
2h 2m
1
Intro
8m
2
Vector DB Setup
19m
3
Generating Embeddings
12m
4
Uploading Data
8m
5
Basic Retrieval
11m
6
Query Optimization
9m
7
Document Reranking
10m
8
Metadata Filtering
11m
9
Text Splitting
8m
10
All Together
9m
11
RAG Prompting
12m
Section 3: Build a Retrieval Project
Take your learnings and implement them into a real world project.
5 lessons
1h 18m
1
Project Intro
9m
2
Initialize Code
6m
3
Setup Vector DB
12m
4
Build RAG Pipeline
27m
5
Connect Frontend
22m
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