Summary

The article discusses a benchmark update comparing two methods for querying data using large language models (LLMs): Text-to-SQL and the dbt Semantic Layer. It highlights the improvements in accuracy for both methods since 2023, with the Semantic Layer consistently outperforming Text-to-SQL in accuracy for complex queries. The authors recommend using Text-to-SQL for ad hoc analyses and the Semantic Layer for enterprise scenarios where accuracy is critical. The article also emphasizes the importance of data modeling quality for both approaches.

💭 Your Thoughts

The question is the licence cost, building and maitenance of this dbt "Semantic Layer".

Technologies Referenced