Graph-RAG for Ethics and IPR in Virtual Worlds

RAG framework combining structured knowledge graphs with generative LLMs to answer ethical and policy-related questions across multilingual datasets.

Designed a Retrieval-Augmented Generation (RAG) framework combining structured knowledge graphs with generative LLMs to answer ethical and policy-related questions across multilingual datasets. Enhanced retrieval precision by 34% through hybrid symbolic-neural reasoning.