NEW Knowledge Graph based RAG: SimGRAG (no training)

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  • Опубліковано 25 гру 2024

КОМЕНТАРІ • 9

  • @code4AI
    @code4AI  4 години тому

    With the automatic audio dubbing from UA-cam /Google you hear a synthetic voice in your regional language.
    To hear my original voice in English, switch to "Default" or "English" in the settings. Thank you.

  • @patruff
    @patruff 20 годин тому +10

    What about Light RAG?

  • @harisjaved1379
    @harisjaved1379 18 годин тому +4

    Hi my friend! Can you explain how it’s different from neo4j graph rag and lightrag?

  • @bhaweshs8461
    @bhaweshs8461 20 годин тому +1

    I used lightRAG with neo4J as gRAG repo and very impressed with its gRAG capabilities.

  • @Max030994
    @Max030994 20 годин тому +1

    This is awesome! I’m actually working on implementing this solution in the aerospace domain, so this is incredibly useful! Thanks for sharing, I’ll probably go dig into the white-paper so that I can see what they’re doing differently and what I can learn 😊

    • @ayoubfr8660
      @ayoubfr8660 2 години тому

      Hi man, I am doing the same for another engineering domain, would be nice to discuss and explore!

  • @christopherd.winnan8701
    @christopherd.winnan8701 12 годин тому +1

    How does this compare to more well-established KG tools, such as Infranodus?

  • @justinnine4940
    @justinnine4940 3 години тому

    the retrieval mechanism is too naive, it can’t be really useful in practice.
    For example, the system would fail to answer the query “which country is Sacramento located in” because the KG has the structure: Sacramento California United States
    Here the query has 2 nodes while the KG subgraph has 3. They wouldn’t match!

    • @code4AI
      @code4AI  5 хвилин тому

      You comment includes "would " and "wouldn't". Therefore I assume, you have not implemented a real test, but you are just guessing?