The increasing volume of digital learning resources has created a need for intelligent systems capable of efficient knowledge retrieval and automation. This paper presents Aivana, an AI-powered intelligent learning platform that integrates Retrieval-Augmented Generation (RAG), semantic search, and full-stack technologies. The system enables users to upload documents, process them using embedding techniques, and retrieve relevant information through FAISS-based vector search. Large language models generate context-aware responses, while additional features such as automated question generation and progress tracking enhance learning outcomes. Experimental results demonstrate improved accuracy, precision, and efficiency compared to traditional methods, making Aivana a scalable solution for modern educational environments.