NEW Knowledge Graph based RAG: SimGRAG (no training)

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  • Опубликовано: 25 дек 2024

Комментарии •

  • @code4AI
    @code4AI  9 часов назад

    With the automatic audio dubbing from RUclips /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 День назад +10

    What about Light RAG?

  • @bhaweshs8461
    @bhaweshs8461 День назад +2

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

  • @harisjaved1379
    @harisjaved1379 23 часа назад +5

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

  • @Max030994
    @Max030994 День назад +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 7 часов назад

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

  • @christopherd.winnan8701
    @christopherd.winnan8701 17 часов назад +1

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

  • @justinnine4940
    @justinnine4940 7 часов назад

    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  4 часа назад

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