· crazyaiml
· AI & Machine Learning
The NL-2-SQL Agent Trap: Why LLMs Need an Ontology Layer to Stop Hallucinating Your Database
Google's BigQuery + Gemini NL2SQL pipeline reveals the core problem every team hits: LLMs generate syntactically valid SQL that is semantically wrong. The fix isn't a better prompt — it's an ontology layer that maps business language to your actual schema. Here's the full architecture, the failure modes, and what to build.