This one-day online workshop provides a practical introduction to Retrieval-Augmented Generation (RAG), an emerging approach for developing reliable and domain-specific AI applications. Participants will understand the fundamentals of large language models, embeddings, vector databases, document retrieval, prompt engineering, and RAG architecture. The workshop will demonstrate how domain knowledge can be integrated with generative AI to build intelligent question-answering and knowledge-based applications. Through hands-on demonstrations and practical examples, participants will learn the complete workflow from document preparation and knowledge retrieval to response generation and evaluation. The session is designed for students, research scholars, faculty members, and industry professionals interested in developing practical AI solutions.