Crack the Nut of Advanced RAG - The Power of Knowledge Graph
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- Опубліковано 30 чер 2024
- 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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now i need a video on how to create knowledge graph (prompt-base, without using third service API) and then combine with vector search and keyword search. Please make one.
The best solution is to create a knowledge graph yourself following an ontology schema.
@@AliSalah10353 yes, i tried but the result not so good when convert raw text to graph. It will work if i point out the entities for the graph first but my goal is to auto recognize the entities no matter the input text. Do you have any source that i can follow? Please share. Thank you.
We’ll create a video about how to construct KG from text. But overall there’s no “one size fits all”solution.
@@MehdiAllahyari thank you. I can not ask for more.
great video, looking forward to seeing you showing knowledge graphs in use. Glad I found your channel.
Nice content, seems KG will go in pair with Vector DB.
Do you know any github project that would have all of that?
Would you mind saying what do you mean by all of that? what do you need?
@@MehdiAllahyari A project that demos how to query KGs when prompting an LLM
@@jayqueuestuff For sure. added to the list to create video about.
@@MehdiAllahyari Thank you 🙏🏽
Great Content.