RDF-Agent Explained in 5 Minutes 🤖 | Knowledge-Graph Reasoning vs RAG Agents

Learn RDF-Agent (Knowledge-Graph Reasoning) in this easy AI tutorial. In this video, we explain how AI agents use RDF (Resource Description Framework) knowledge graphs to perform logical reasoning, understand relationships, and make intelligent decisions. Unlike traditional RAG (Retrieval Augmented Generation) agents that rely mainly on vector similarity and unstructured documents, RDF-Agents use structured semantic data, SPARQL queries, and ontology reasoning to infer new knowledge. This makes them highly useful for enterprise AI systems, semantic search, digital twins, compliance automation…