[yetanotherjosh]

It seems to me that the "knowledge graph" generated in this article is incredibly naive and not comparable to the process in the MS paper, which requires multiple rounds of preprocessing the source content using LLMs to extract, summarize, find relationships at multiple levels and model them in the graph store. This just splats chunks and words into a vector graph and is barely defensible as a "knowledge graph".

Please tell me I'm missing something because this is egregious. How can you expect a graph approach to improve over naive rag if you don't actually build a knowledge graph that captures high quality, higher level entity relationships?