Large language models are very good at predicting the next word in a sequence. That’s because they’ve been trained on massive amounts of unstructured text — books, web pages, code. But enterprise data looks different. It lives in relational databases: rows and columns linking customers to orders to products to transactions. LLMs can’t natively reason over those relationships.
That’s the gap relational foundation models are looking to fill. Where an LLM ingests a corpus of text and learns statistical patterns across tokens, a…
