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RAG (Retrieval)
Learn how to build RAG systems and use retrieval methods in your AI apps & tools.
Total video time: 04:32:56
0/3 sections completed
Section 1
Learn the Basics
Video time: 01:12:04
0/6 lessons
Learn about embeddings, vector databases, and similarity search.
Lesson 1
Intro
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Video time: 09:31
Lesson 2
RAG Overview
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Video time: 12:56
Lesson 3
Code Setup
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Video time: 08:38
Lesson 4
Embeddings
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Video time: 12:07
Lesson 5
Vector Databases
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Video time: 20:41
Lesson 6
Similarity Search
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Video time: 08:11
Section 2
Create a Complete RAG System
Video time: 02:02:41
0/11 lessons
Build an end-to-end RAG system from scratch.
Lesson 1
Intro
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Video time: 08:37
Lesson 2
Vector DB Setup
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Video time: 19:06
Lesson 3
Generating Embeddings
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Video time: 12:34
Lesson 4
Uploading Data
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Video time: 08:04
Lesson 5
Basic Retrieval
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Video time: 11:56
Lesson 6
Query Optimization
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Video time: 09:40
Lesson 7
Document Reranking
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Video time: 10:58
Lesson 8
Metadata Filtering
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Video time: 11:02
Lesson 9
Text Splitting
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Video time: 08:35
Lesson 10
All Together
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Video time: 09:26
Lesson 11
RAG Prompting
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Video time: 12:43
Section 3
Build a Retrieval Project
Video time: 01:18:11
0/5 lessons
Take your learnings and implement them into a real world project.
Lesson 1
Project Intro
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Video time: 09:18
Lesson 2
Initialize Code
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Video time: 06:49
Lesson 3
Setup Vector DB
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Video time: 12:02
Lesson 4
Build RAG Pipeline
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Video time: 27:47
Lesson 5
Connect Frontend
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Video time: 22:15