  In this paper, we introduce MoRSE (Mixture of RAGs Security Experts), the
first specialised AI chatbot for cybersecurity. MoRSE aims to provide
comprehensive and complete knowledge about cybersecurity. MoRSE uses two RAG
(Retrieval Augmented Generation) systems designed to retrieve and organize
information from multidimensional cybersecurity contexts. MoRSE differs from
traditional RAGs by using parallel retrievers that work together to retrieve
semantically related information in different formats and structures. Unlike
traditional Large Language Models (LLMs) that rely on Parametric Knowledge
Bases, MoRSE retrieves relevant documents from Non-Parametric Knowledge Bases
in response to user queries. Subsequently, MoRSE uses this information to
generate accurate answers. In addition, MoRSE benefits from real-time updates
to its knowledge bases, enabling continuous knowledge enrichment without
retraining. We have evaluated the effectiveness of MoRSE against other
state-of-the-art LLMs, evaluating the system on 600 cybersecurity specific
questions. The experimental evaluation has shown that the improvement in terms
of relevance and correctness of the answer is more than 10\% compared to known
solutions such as GPT-4 and Mixtral 7x8.
