In early April this year, the Pinterest Engineering Team shared how they internally implemented a Text-to-SQL solution to enable data users to retriev

What we learned from Pinterest’s Text-to-SQL solution?

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2024-05-10 15:30:37

In early April this year, the Pinterest Engineering Team shared how they internally implemented a Text-to-SQL solution to enable data users to retrieve data without writing SQL; they also shared an astonishing ROI on the solution provided to their users, quoted below.

In our real world data (which importantly does not control for differences in tasks), we find a 35% improvement in task completion speed for writing SQL queries using AI assistance.

The team at WrenAI has been working on the Text-to-SQL challenge for several months and found we gained a lot of new insights and learnings from the post; we would like to share what we had learned from the post and our learnings while developing WrenAI with the community to accelerate the innovation of bringing the LLM comprehension capabilities to data.

Before we start, if you haven’t checked out WrenAI, check us out on GitHub! If you love what we are doing, don’t forget to give us a star ⭐️ !