research
Researchers introduce RDB-PFN, first relational database foundation model trained entirely on synthetic data
Researchers have developed RDB-PFN, the first foundation model designed specifically for relational databases, trained entirely on synthetic data to overcome the scarcity of high-quality private databases. Pre-trained on over 2 million synthetic relational and single-table tasks, the model achieves few-shot performance on 19 real-world relational prediction tasks while outperforming existing graph-based and single-table baselines.