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This paper presents KITE, a Retrieval-Augmented Generation (RAG)-based intelligent tutoring system for algorithmic reasoning and problem-solving in AI education. The system uses intent-aware Socratic response strategies and multimodal RAG to provide course-grounded, pedagogically appropriate feedback, and is evaluated through metrics, expert review, and simulated student interactions.