At the moment this repo is designed to handle more RAG-oriented use cases, i.e. that require to recall the "top pieces of information" relevant to a given question/context. In your specific example, right now, FastGraphRAG would select the nodes that represent podcasts that are connected to Hilary Clinton, feed them to an LLM which would then select the ones that are positively associated with her. As a next step, we plan to weight the connections between nodes given the query. This way, PageRank will explore only edges which carry the concept "positively associated with", and only the right podcasts would be selected and returned, without having to ask an LLM to classify them. Note that this is basically a fuzzy join and so it will produce only a "best-effort" answer rather than an exact one.