SQL is undoubtedly one of the most crucial languages in the world of computing. It serves as the primary means of communication with relational databases, where organizations store their vital data. SQL plays a significant role in analyzing complex data, creating data pipelines, and efficiently managing data warehouses. However, writing optimized SQL queries can often be challenging and time-consuming. Thanks to the rapid progress in AI over the past few years, we now have AI agents augmented with Large Language Models capable of writing queries on our behalf.
This article demonstrates how to build an AI agent using CrewAI, Agents Fortune, and Gemini to access databases and execute SQL queries to retrieve data.
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