Tags: #DataEngineering #AI #Python #HuggingFace #Streamlit
For decades, SQL has been the universal language for extracting insights from databases. But there's a catch: it creates a bottleneck. Business analysts, product managers, and marketers often have to wait for data teams to write queries for them.
What if we could skip the code and just talk to our databases in plain English?
Thanks to the rapid advancements in Artificial Intelligence and Large Language Models (LLMs), this is now entirely possible. Today, I'll walk you through how I built a Text-to-SQL assistant using Python, and how you can do it too.
What is Text-to-SQL?
