As artificial intelligence (AI) continues to evolve, its integration into financial services has become inevitable, with Retrieval Augmented Generation (RAG) emerging as a key focus in this transformation. By combining real-time data retrieval from industry-specific sources with generative language models, RAG delivers responses that are both accurate and contextually relevant. However, while RAG holds immense … Continue reading AI in Finance: The Promise and Risks of RAG