Get Ahead in Your RAG! Must-Know Knowledge Graph Integration Secrets!

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Continuing from last week, join Angelina and Mehdi, for an introduction to Augmented RAG with Knowledge Graph (KG). Today we answer the question: How to integrate knowledge graph with your RAG systems?

00:00 Intro
00:39 How to integrate KG with RAG?
00:49 Architecture diagram of RAG + KG
01:25 Are we doing 2 searches in parallel?
03:33 How do Knowledge Graph augment retrieval?
03:54 Explicit facts
06:40 Contextual details
07:33 Network structure
09:49 Multi-hop reasoning
11:30 Explainability
12:10 Diverse and complex queries
13:00 Personalization
13:37 Graph database versus vector database
20:27 Vector dbs do not support graphs just yet
20:49 Construction of KG and challenges dealing with KG
23:25 How to combine RAG with KG high-level recap

Stay tuned for more content! 🎥 Thanks you for watching! 🙌
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This is fantastic! Looking forward the video of code part of this advanced KG powered RAG.

dorothyban
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Best of almost 30 YouTubes I've watched here in terms of clarity, some code demo would be fabulous 😻

GeoffY
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great video. Can't wait for the part 3 where we look into coding

nogool
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Thank you for this video. Simple explanation about the knowledge graph. Please make more elaborate videos on the knowledge graph.

souravbarua
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I am trying to implement RAG using KGs and compare results with traditional RAG approach.
This is a very informative video to start with basics 🙂
Thank you 🙏 ❤

sumitsp
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Hi, I have some follow up questions.
1. Are you creating embedding for KG as well.
2. How are you selecting relevant nodes from KG? based on user query.
3. How is the embedding from Vector DB and KG are combined and sent as prompt to LLM?

techietoons
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fantastic video!hope the best baseline code❤❤

曾毅-ye
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What about RDF based knowledge graph in turtle format? How can I use it RAG with it? In which phase of RAG pipeline?!

kk
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Could you tell me what software was used to create the mind maps in the video? Thanks!

weixu