The growing prevalence of social media has generated massive amounts of digital data, becoming a primary source for OSINT and SOCMINT. The proliferation of high-risk content poses a critical challenge for intelligence teams, who require advanced tools to effectively identify and analyze these phenomena. Large Language Models (LLMs), as part of the broader integration of Artificial Intelligence into the intelligence cycle, offer significant opportunities to automate and enhance analytical processes, enabling faster and more efficient management of the vast data available on social networks. This work develops a system based on Retrieval-Augmented Generation (RAG) technology, designed to support intelligence teams in the automated analysis of Twitter profiles.