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🔥 Join The AI Forge Community 👇 https://www.skool.com/the-ai-forge n8n: https://aibuilders.short.gy/n8n Workflow: https://leonardo467.gumroad.com/l/qnako In this video, I’m walking you through a workflow that takes data from a Google Sheet and lets an AI chatbot answer questions using SQL. A lot of solutions out there rely on vector databases, which work great for some things but aren’t ideal for numerical queries. Instead, I’m using PostgreSQL to store the data and generate SQL queries dynamically. Now, just to be clear—this isn’t about saying other approaches are bad. A lot of tutorials show methods that work in different contexts, but for structured data like this, I wanted something more efficient and scalable. That said, this workflow is still a work in progress, and there’s definitely room for improvement, especially when it comes to updating the database properly instead of just recreating it every time. I’ll go over the full setup, test out the SQL agent, and talk about system prompting, which plays a huge role in making AI generate better queries. If you’re interested in trying this out or improving it, all the details are in the video. Drop any questions in the comments, or check out the community if you need help setting it up! Article: https://pear-catboat-4f2.notion.site/... 🔥 Scrape with Firecrawl : https://firecrawl.link/leo timestamps: 00:00 - Introduction 01:30 - Don't do this 04:08 - Solution 06:38 - Testing the sql Agent 07:07 - The tools 07:36 - How the database is updated (improve this!) 08:51 - System prompting resource 09:12 - Workflow Support