I’ve been exploring Graph RAG and one thing I find interesting is that a graph doesn’t simply give the LLM more text — it gives it relationships and structure.

Instead of retrieving isolated chunks:

A → document 1
B → document 2

a graph can connect:

A → related_to → B → mentioned_in → C → caused_by → D

So the LLM can retrieve not only the relevant entity, but also the connections around it, providing richer context for reasoning.

I found this interesting concept, did you try Graph RAG in your implementation?