I just came across this on a WeChat official account a couple of days ago, really fresh idea.

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?

is the relevance scoring based on graph embeddings or just keyword matching?

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.

60+ points but still 2 karma? @dang

I have come across many benchmark results of the rag solution, all claiming to be superior.