Graph RAG: Improving RAG with Knowledge Graphs
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Published 2024-07-04
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00:00 Introduction to GraphRAG and Its Cost Issue
00:44 Understanding Traditional RAG
01:46 Limitations of Traditional RAG
02:22 Introduction to GraphRAG
02:39 Technical Details of GraphRAG
05:46 Setting Up GraphRAG on Your Local Machine
06:22 Running the Indexing Process
12:00 Running Queries with GraphRAG
14:26 Cost Implications and Alternatives
All Interesting Videos:
Everything LangChain: • LangChain
Everything LLM: • Large Language Models
Everything Midjourney: • MidJourney Tutorials
AI Image Generation: • AI Image Generation Tutorials
All Comments (21)
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Would really appreciate the comparison of all the Graph based RAG frameworks, like LlamaIndex's Property Graph RAG, MS's GraphRAG etc.
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Thanks for sharing this video.I would love to see a comparison between different Graph RAG solutions.
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Thanks for sharing this video. It was very informative. I would love to see a comparison between different Graph RAG solutions.
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Love the focus on cost tradeoff. Thanks!
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this looks great. yes, would be interested to compare against llamaindex.
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Great. Please more on this topic
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Excellent concise introduction on GraphRAG and why, how, when it is needed. Please compare this with Neo4j and Llama Index.
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Interested in the Neo4J version
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Very useful, also good to share the associated cost. It would be very interesting to see a video comparing the different GraphRAG implementations as you mentioned.
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Another great choice of important topics and video to show the current best implementations. Thank you!
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Thanks for stating that Microsoft Graph RAG is limited in contextual understanding, I already noticed that but thought that I messed up somewhere in my setup/building. Excellent, informative, and precise details! Thanks again!
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Great video and very timely. Please do more like these.
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Great job. Please publish more videos about GraphRAG with other competitors.
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Can you please tell how can we change the embedding model to use some open source embedding
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Excellent! Outstandingly thorough and clear details. Subscribing now.
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Great video! Could this be used with other models like Claude or maybe even OS models?
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Great video! Thank you
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Excellent. Going to subscribe for more info. Maybe i missed it but it seems like theres no specialised db used like with neo4j. So effectively we can use any data store?
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Been wondering , especially the book.txt , let's say if is a .json object will our RAG works well with json objective when we feed those data into doing embedding etc through the RAG proceess?
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Thanks, if we can use open-source LLM then the cost will be less or use groq, right?. There are no examples using python code instead of command line?
