Anton Demydov

RAG SYSTEM APPLICATION BASED ON LLM FOR DECISION SUPPORT DURING DISASTER RECOVERY IN CLOUDS

This article proposes and experimentally validates a decision-support system for AWS cloud disaster recovery based on Retrieval-Augmented Generation (RAG), a paradigm that combines dense vector retrieval with the generative capabilities of large language models.