My First Agentic AI Can speak to Database (Full Demo + Code Explained) -...

My First Agentic AI Can speak to Database (Full Demo + Code Explained) - Think-Act-Memory-Recall

My Agentic AI's journey continues! After giving it a brain (memory) and hands (file access), I've now given it the power to talk to a real database. In this video, I show you how I integrated a PostgreSQL database, allowing the agent to answer questions by writing and executing its own SQL queries.

This is where Agentic AI gets really powerful. We'll walk through the entire process, from setting up the database with Docker to watching the agent chain tools together: it queries the database for information and then uses another tool to save the result to a file, all based on a single, natural language prompt.

What you will learn in this video :

  1. The Big Upgrade: Introducing the new database tool.

  2. Database Setup with Docker : A quick guide on how to spin up a PostgreSQL database and populate it with data for the agent to use.

  3. Live Demo (02:39): Watch the agent answer natural language questions by generating and executing its own SQL queries.

  4. Tool Chaining in Action: See the agent query the database AND use the file-writing tool in a single, complex task.

  5. Code Walkthrough : A look at the new `execute_sql` tool in `simpleagent.py` and the prompt engineering that makes it all work.

  6. The Future: Model-Context Protocol : A sneak peek at the next evolution of this project, using MCP to make the tool interaction even more robust and secure.

If you're learning about AI and want to see how these concepts are put into practice, this video is for you! Please give it a thumbs up and subscribe for the next video in the series.