In comparison, the GraphRAG approach discovered an entity in the query, Novorossiya. This allows the LLM to ground itself in the graph and results in a superior answer that contains provenance through links to the original supporting text. For example, Figure 2 below shows the exact content the LLM used for the LLM-generated statement, “Novorossiya has been implicated in plans to blow up ATMs.” We see the snippet from the raw source documents (after English translation) that the LLM used to support the assertion that a specific bank was a target for Novorossiya via the relationship that exists between the two entities in the graph.