MATRAG: Multi-Agent Framework for Explainable LLM Recommendations

MATRAG, which stands for Multi-Agent Transparent Retrieval-Augmented Generation, is designed to improve how recommendation systems using large language models handle transparency and provide explanations. The system features four unique agents: one that adjusts user preference profiles, another that analyzes items by pulling semantic details from knowledge graphs, a reasoning agent that combines collaborative and content signals, and an explanation agent that creates understandable justifications in plain language. By bringing together these agents and leveraging knowledge graphs for better retrieval, the goal is to deliver recommendations that users can trust, thanks to clear, knowledge-driven explanations.