Semantic Layer, Not Text-to-SQL, is the Real LLM Interface

The article argues that the focus on Text-to-SQL for LLMs has been misguided, as the true challenge lies in understanding business logic, not just SQL syntax. Business definitions, such as what constitutes 'active users' or 'net revenue,' are crucial and reside in semantic layers, not raw database schemas. The author posits that semantic layers, like those built with dbt metrics, should be treated as API contracts for AI agents, providing a stable foundation for governance and guardrails, rather than just a convenience for business intelligence. AI

IMPACT Shifts focus from SQL generation to semantic layer integration for more robust AI agent capabilities.

RANK_REASON Article presents an opinion on the direction of LLM development and data interfaces.

Read on dev.to — LLM tag →

• Ai Engineering
• business intelligence
• Data
• dbt metrics
• governance
• LLM
• Modern Data Stack
• prompt engineering
• Semantic layer
• SQL

• product
• opinion

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