Advanced RAG Explained: How Self-Correcting AI Agents Reduce Hallucinations

Description

Most RAG systems stop at retrieval + generation. But production-grade AI needs more. In this video, we explore Advanced RAG with Self-Correction — a powerful technique that allows AI agents to critique, verify, and improve their own answers before responding. You’ll learn: Why basic RAG systems still hallucinate What “self-correction” means in AI agents How reflection loops improve answer accuracy Query rewriting for smarter retrieval Using verifier models to reduce hallucinations Confidence-based iteration strategies Real-world production architecture patterns If you're building enterprise AI systems, AI copilots, or production LLM applications, this concept is critical. This is not beginner-level RAG. This is how modern AI agents are actually built.