Uploaded February 2025 | Updated September 2026, 2 weeks ago

---

SQLite, probably one of the most popular lightweight file-based database engines, is used by millions of people and applications. What if are someone who doesn't know a single line of SQL but still want to manage your own SQLite database? In this tutorial, we are going to learn how to build an SQLite Agent using PydanticAI so you use natural language to interact with an SQLite database.

📋 Source Code: patreon.com/posts/121582362

💻 Download Chinook SQLite database file: github.com/lerocha/chinook-database/blob/master/ChinookDatabase/DataSources/Chinook_Sqlite.sqlite

🖥️ Inloop SQLite viewer: inloop.github.io/sqlite-viewer

🖥️ More on PydanticAI: https://ai.pydantic.dev/

💻 Also checkout:
➡️ Getting Started With PydanticAI (youtu.be/H63RbTuHTy0)
➡️ Create An Intelligent Web Scraping Agent With PydanticAI | Complete Tutorial (youtu.be/7tXSk31d9X0)
➡️ Google Sheets AI Agent With PydanticAI | Complete Tutorial (youtu.be/tURxphunUyk)

💖 Show Support
☕ Paypal: paypal.me/jiejenn/5
☕ Venmo: @Jie-Jenn
🌳 Patreon: patreon.com/JieJenn (early access to tutorial source code)
✉️ Business Inquiring: YouTube@LearnDataAnalysis.org

00:00 - Tutorial overview
01:25 - Python library installation
01:36 - SQLite sample database download
02:29 - load_models.py
02:37 - Tools creation (sql.py)
04:20 - SQLite Agent creation (sql_agent.py)
07:23 - Testing the agent

#aiagent #pydanticai #agenticai