Transaction Foundation Models for Retrieval-Augmented Generation over Financial Transaction Data: A Comparative Evaluation with Text Embeddings

Domain-specific tabular and transaction foundation models are increasingly proposed as drop-in representation learners for financial applications, but their value relative to off-the-shelf text embedding models for retrieval-augmented generation (RAG) over structured data remains underexamined. We c