67 pointsby hjeffery6 hours ago15 comments
  • wanderwall5 hours ago
    Is the construction cost of Graph RAG really that high? Why is the query speed of Graph RAG so slow? Is Graph RAG difficult to maintain in actual projects?
    • Ringowester5 hours ago
      Token spending is a problem. But you’ll have to use graph rag if you wanna use rag.
    • hogrider6665 hours ago
      Async memory writes aren’t the actual problem.
  • DylanScott5 hours ago
    I have come across many benchmark results of the rag solution, all claiming to be superior.
    • KelvinKings4 hours ago
      That’s why you have to tryem out, most don’t mention the ones that are better, or are simply built for jsut one test.
    • MirandaWei5 hours ago
      [dead]
  • hogrider6665 hours ago
    I just came across this on a WeChat official account a couple of days ago, really fresh idea.
  • cole_code815 hours ago
    used Pinecone for vector search, quite glad to see focus on relevance with Graph RAG. Heard of many memory engines these days, hope it actually improves context retrieval.
  • caseyCrow315 hours ago
    is the relevance scoring based on graph embeddings or just keyword matching?
    • wosunheizhu5 hours ago
      This project doesn't even use keyword matching.
      • hjeffery5 hours ago
        There is, in preprocessing, for coreference
  • salkahfi5 hours ago
    60+ points but still 2 karma? @dang
  • dk9705 hours ago
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  • hjeffery6 hours ago
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  • LebronJordan5 hours ago
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  • Featbeat5 hours ago
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  • alexzhu16 hours ago
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  • PeterChengs5 hours ago
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  • nohandsgamer5 hours ago
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  • morgan-rust-604 hours ago
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  • goldenhourhhh4 hours ago
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