How does RAG perform better in a graph knowledge base vs in a Vector Store?
Can you recommend some sources to check what’s the pros/cons of one or the other?

I’d also expect the graph based approach to be way more expensive to build than embeddings as you’re relying on good/expensive models to transform the data while the embedding models are generally cheaper.