Tri-Modal GraphRAG is a retrieval pattern that gives self-moderating AI agents more than one way to understand a new claim. Full-text search finds exact terms. Vector search finds semantic similarity. Graph traversal finds explicit node-edge relationships and provenance chains.
That matters because autonomous moderation needs explainable context, not just nearest-neighbor text chunks. If an incoming packet contradicts a trusted fact or tries to rewrite a highly connected concept, GraphRAG helps the review swarm see it.