The contemporary financial markets evolve continuously, and hence there is an imperative need for sophisticated systems that are capable of offering timely and personalized finance advice. Conventional financial advisory methods are typically dogmatic and are also unable to make swift adjustments to changing economic dynamics and individual client requirements. This paper introduces a new method by combining Generative Artificial Intelligence (GenAI) with smart agents in conjunction with the Retrieval-Augmented Generation (RAG) method. Through the integration of real-time data capture and sophisticated language models like GEMINI and OpenAI GPT-4, the suggested system produces tailored financial advice of very high accuracy. Preliminary assessments indicate that the integration produces notably improved advisory accuracy, increases user satisfaction, and enhances responsiveness to real-time market changes. Subsequent work will involve broadening the sources of data, enhancing user experience, and real-time adaptability, which represents a significant step toward harnessing smart technologies for financial advisory purposes.