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Product launchData engineering & the warehouse/lakehouseThoughtSpot
ThoughtSpot Blog · Read source ↗

ThoughtSpot's AgentQL is a new capability designed to interpret SQL-shaped intent without relying on Large Language Models (LLMs) to generate SQL directly. The engineering effort behind AgentQL reinforces ThoughtSpot's architectural choice to avoid LLM dependency, focusing instead on enhancing SQL query capabilities.

MyDataWork POV — For those deeply embedded in SQL-driven environments, AgentQL offers a clear advantage. It sidesteps the unpredictability of LLMs generating SQL, providing more reliable query results. But if your team isn't already steeped in SQL, this development might pass you by. AgentQL speaks directly to those who value precision over novelty in their data interactions, reinforcing the idea that not every problem needs an LLM-shaped solution. Those outside the SQL-centric world can likely continue their work without a second glance.
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