Topic Hub
Design reliable NL-to-SQL systems with schema linking, semantic grounding, and production safety loops.
Ontology and semantic-layer grounding
Schema routing, join safety, and query validation
Agent loops for correction and observability
Builder Routes
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.
Most NL-to-SQL demos work on toy schemas with 5 tables. Real databases have 500. This deep dive covers schema linking, table clustering, volumetric routing, domain bootstrapping, ReAct reasoning loops, SQL safety, and what benchmark scores actually tell you — with a detailed walk-through of a production-grade reasoning agent.
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