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Schema grounding is a key step in Text-to-SQL, referring to the system mapping business terms in natural language onto the database's actual tables, fields, primary and foreign key relationships, and constraints, usually accomplished with the help of metadata catalogs, field comments, and business glossaries, and it is a prerequisite for the correctness of the subsequent SQL.
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10/14/2026
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UnverifiedThe mainstream implementation path for NL2SQL is to feed the database schema as context to a large language model, which infers user intent and generates SQL statements.72% similarUnverifiedSemantic grounding binds the metrics in a user's question (such as "profit margin" or "target achievement rate") to the organization's approved business definitions and calculation logic, often relying on a metrics layer or semantic layer to achieve this; only when both schema grounding and semantic grounding are correct can the SQL be both structurally correct and business-correct.72% similarUnverifiedText-to-SQL 系统架构通常包含自然语言理解、Schema Linking 和 SQL 生成三个核心模块69% similarUnverified在NL2SQL场景中，为Schema的每个表和字段附加业务语义描述并标明表间关联关系，比简单堆砌CREATE TABLE语句效果更好63% similarVerifiedThe semantic layer is an abstraction layer situated between raw data storage and business applications, transforming technical database structures into business-friendly conceptual models and defining unified calculation logic for business metrics.63% similar
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