There is no tutorial instruction for using lazygraphrag

[yuqilol]

Hello, after I have deployed the graph, I want to use the integrated lazygraphrag, but I can't find the usage tutorial. I would like to ask where the directory of the usage tutorial is. If not, could you add examples for us

[ntsarb]

Hello, after I have deployed the graph, I want to use the integrated lazygraphrag, but I can't find the usage tutorial. I would like to ask where the directory of the usage tutorial is. If not, could you add examples for us

Why do you suggest the LazyGraphRAG is integrated into GraphRAG?

Besides the MS Research Blog Post, which doesn't reveal the details, I haven't found any (published) scientific paper explaining the methodology either.

I hope it is effective and efficient, but it's currently unclear to me how deferring the costly LLM work impacts search performance. To rephrase my concern, it unclear to me how long it can take to get a response from a LazyGraphRAG when searching through material that hasn't been pre-processed/pre-indexed.

[yuqilol]

No, I didn't suggest integration. On the contrary, I think it's better to separate them. However, the official graphrag officially open-sourced LazyGraphRAG, that is, the NLP graph extraction function, in version 2.0.0. I don't know how to use this function and I can't find any usage tutorials either.

[ntsarb]

No, I didn't suggest integration. On the contrary, I think it's better to separate them. However, the official graphrag officially open-sourced LazyGraphRAG, that is, the NLP graph extraction function, in version 2.0.0. I don't know how to use this function and I can't find any usage tutorials either.

Besides the NLP graph extraction, the Blog post on LazyGraphRAG describes new approaches for "Refine query", "Match query", "Map answers" and "Reduce answers". Are these implemented in the current version of GraphRAG?