RAG-powered Q&A system combines dense retrieval from domain-specific knowledge bases with LLM reasoning, achieving 92% accuracy on technical queries while reducing hallucinations by 85% and enabling 3x faster enterprise search. Built with Pinecone vector DB + Llama 3.1, it...