Proposal for Enhancing Legal Advisory Services in the Montenegrin Banking Sector with Artificial Intelligence

This paper examines the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) in improving legal advisory services within the Montenegrin banking industry. It explores the vectorization of regulatory documents using ADA-2 embedding model, the storage and management of these vectorized forms in Chroma DB, and the utilization of GPT-4 for processing relevant documents to generate user responses, providing insights into the use of artificial intelligence (AI) for legal advisement and financial education.