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How to Create an AI Agent with ChatGPT & MySQL: Function Calling, File Search, & Python 💡
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In this demo, we create an AI agent capable of understanding natural language requests and interacting with a MySQL database to retrieve specific data. The AI agent combines ChatGPT’s Large Language Model (LLM) with a company’s MySQL database, allowing it to autonomously generate SQL queries and provide responses without needing prior SQL knowledge.
For example, when asked for a list of paid courses by students from a Spanish-speaking country in Europe, the AI agent uses its LLM knowledge of Spanish-speaking countries and combines it with the MySQL database to create and execute the appropriate SQL query.
Watch and learn how to build this intelligent AI agent 💡
0:00 What is an AI agent?
0:14 How does it work?
0:25 mySQL Database
0:36 ChatGPT assistant
0:46 Vector Files
0:53 Function Call
0:57 Python script
1:17 Where the data is?
1:40 Demo
🚀AI Consulting
For example, when asked for a list of paid courses by students from a Spanish-speaking country in Europe, the AI agent uses its LLM knowledge of Spanish-speaking countries and combines it with the MySQL database to create and execute the appropriate SQL query.
Watch and learn how to build this intelligent AI agent 💡
0:00 What is an AI agent?
0:14 How does it work?
0:25 mySQL Database
0:36 ChatGPT assistant
0:46 Vector Files
0:53 Function Call
0:57 Python script
1:17 Where the data is?
1:40 Demo
🚀AI Consulting
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