Crack the Nut of Advanced RAG - The Power of Knowledge Graph

In this episode, join Angelina and Mehdi, for an introduction to Augmented RAG with Knowledge Graph (KG). We answer the question: Why consider knowledge graph for your RAG system?

Due to the length of this video, we are going to publish them into 2 sessions. This one will be the first session and the 2nd session will be out in a few days. Stay tuned!

Who's Angelina:   / meetangelina  
Who's Mehdi:   / mehdiallahyari  

00:00 Intro
00:26 Simple example when RAG would likely fail
01:06 Problem with LLMs (large language models) - hallucination + reasoning
02:00 RAG (retrieval augmented generation) recap
02:29 RAG basics video
02:38 How RAG can alleviate the LLM problems
03:45 RAG basic architecture
04:08 Limitations with RAG
11:18 RAG limitations - Interview prep slide
11:19 How to improve RAG and what is knowledge graph!
13:09 Main components of a knowledge graph - vertex and edges
13:56 Basic unit of a knowledge graph - triple, triplet
15:30 Mehdi's research was knowledge graph! We're all learning from the best of both worlds!

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