Self-RAG Tutorial: How to Make Your AI Fact-Check Itself | Advanced RAG | CampusX
In this video, we dive deep into Self-RAG (Self-Reflective Retrieval-Augmented Generation), a powerful technique designed to fix the biggest flaws in traditional RAG systems: unnecessary retrievals, irrelevant documents, and hallucinations
Resources: https://github.com/campusx-official/self-rag
OG RAG Tutorial: https://youtu.be/X0btK9X0Xnk
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Chapters (16)
Introduction to Advanced RAG Techniques
1:00
Prerequisites & Disclaimer
1:48
3 Major Problems with Traditional RAG
2:14
Problem 1: Indiscriminate/Unnecessary Retrieval
5:17
Problem 2: Blind Trust in Documents
6:55
Problem 3: Lack of Answer Verification
7:34
What is Self-RAG? (Self-Reflective RAG)
8:24
The 4 Key Questions Self-RAG Answers
12:40
Architectural Overview & Logic
15:05
Step 1: Implementing the Retrieval Decision Node
35:30
Step 2: Filtering Relevant Documents
41:00
Step 3: Generating Answers from Context
45:56
Step 4: Detecting Hallucinations (Support Node)
53:36
Step 5: Implementing the Revised Answer Loop
58:23
Step 6: Testing Answer Usefulness & Query Rewriting
1:08:13
Conclusion & Final Summary
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