Filtering data in Retool is essential for any process, whether you're managing invoicing, tracking customer orders, or analyzing sales patterns. Traditionally, filters are built up using dropdowns, text inputs, and manual SQL queries. What if you could ask your app for exactly what you want in simple English?
Using artificial intelligence, we can dynamically read user inputs and translate them into structured filters, making data discovery in Retool faster, more intuitive, and extremely powerful.
In this post, I'll walk you through the steps I took to create AI-driven filters in Retool. Whether you're a beginner or an established user, you'll discover how simple it is to incorporate AI into your data workflows and how it can change the way you interact with your data.
