Retrieval-Augmented Generated (RAG) explained | Using AI for Financial Spreading in Banking скачать в хорошем качестве

Retrieval-Augmented Generated (RAG) explained | Using AI for Financial Spreading in Banking

Retrieval-Augmented Generation (RAG) is an AI approach that combines document retrieval with language models to produce accurate, context-aware outputs. In this video, I explain: What RAG (Retrieval-Augmented Generation) is How RAG differs from traditional AI models How banks use RAG for financial spreading How internal and external data sources are used in wholesale credit Why RAG improves accuracy and consistency in credit analysis The discussion is framed around financial spreading and wholesale credit, making it especially relevant for professionals working in commercial banking, credit risk, business analysis, and financial analysis. This video focuses on practical application, not theory. #RetrievalAugmentedGeneration #RAGinBanking #AIinFinance #FinancialSpreading #WholesaleCredit #CommercialBanking #CreditAnalysis #BusinessAnalysis #BankingTechnology