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Why LLMs Fail at SQL: The Case for Semantic Layers
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𝘓𝘓𝘔𝘴 𝘢𝘳𝘦 𝘤𝘳𝘶𝘴𝘩𝘪𝘯𝘨 𝘤𝘰𝘥𝘦. 𝘉𝘶𝘵 𝘧𝘢𝘪𝘭𝘪𝘯𝘨 𝘢𝘵 𝘥𝘢𝘵𝘢.
This week’s newsletter comes from our own Paul Dudley, back again with the bold facts, the real talk — and yes, the video.
🎥Why are LLMs so bad at answering business questions?
Because your data warehouse doesn’t speak 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴. 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐥𝐚𝐲𝐞𝐫𝐬 𝐦𝐢𝐠𝐡𝐭 𝐛𝐞 𝐭𝐡𝐞 𝐤𝐞𝐲.
𝐓𝐡𝐢𝐬 𝐨𝐧𝐞 𝐠𝐨𝐞𝐬 𝐝𝐞𝐞𝐩 𝐢𝐧𝐭𝐨:
⚙️ Why LLMs flop on enterprise SQL
🧠 Context beats code
🚀 What Palantir and OpenAI are quietly doing right
💣 And why semantic layers may be the most critical thing no one wants to own
🎬 Traditional action. No fluff.
Just semantics.
Full blog was originally posted on Streamkap’s Substack.
P.S. 🤗 Stay in the loop —subscribe: https://streamkap.substack.com/
PUBLISHED
April 3, 2025
TL;DR
• LLMs crush code but fail at business data questions because data warehouses don't speak business language. • Semantic layers may be the key-companies like Palantir and OpenAI are quietly getting this right. • Context beats code: without semantic understanding, enterprise SQL queries will continue to frustrate AI tools.
