I see a lot of these KG tools pop up, but they never solve the first problem I have, which is actually constructing the KG itself.
I have heard good things about Graphrag [1] (but what a stupid name). I did not have the time to try it properly, but it is supposed to build the knowledge graph itself somewhat transparently, using LLMs. This is a big stumbling block. At least vector stores are easy to understand and trivial to build.
It looks like KAG can do this from the summary on GitHub, but I could not really find how to do it in the documentation.
This is a common issue I've seen from LLM projects that only kind-of understand what is going on here and try and separate their vector database w/ semantic edge information into something that has a formal name.