Retrieval Augmented Generation (RAG) for Fintech: Agentic Design and Evaluation - researchr publication authors

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Thomas Cook, Richard Osuagwu, Liman Tsatiashvili, Vrynsia Vrynsia, Koustav Ghosal, Maraim Masoud, Riccardo Mattivi. Retrieval Augmented Generation (RAG) for Fintech: Agentic Design and Evaluation. In 3rd International Conference on Foundation and Large Language Models, FLLM 2025, Vienna, Austria, November 25-28, 2025. pages 93-100, IEEE, 2025. [doi]

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