Chat with MySQL Database with Python | LangChain Tutorial

Discover how to interact with a MySQL database using Python and LangChain in our latest tutorial. This comprehensive guide walks you through the process of creating a LangChain chain, detailing every step with a helpful diagram for a clearer understanding. Whether you're a beginner or an experienced developer, this video will equip you with the knowledge to execute SQL queries using an innovative approach.

IMPORTANT: Remember to NOT use a MySQL user with WRITE privileges. Use only READ and limit the scope. Otherwise your user could ask your chain to delete data.

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Timestamps:
0:00 Intro
1:02 How this works
2:59 Our test data
4:58 Load the test data
6:47 Notebook setup
9:23 Create SQL Chain Prompt
13:00 Load MySQL Database in Python
17:01 Create SQL Chain
26:02 Create run_query Function & Final Prompt
29:45 Create Full Chain
35:54 Conclusion

In this tutorial, you'll learn:

How to set up LangChain to communicate with a MySQL database.
The intricacies of creating and utilizing SQL queries within LangChain.
Implementing a full chain that includes SQL query generation and natural language response construction.
Best practices for interacting with databases using Python and LangChain.

Key Highlights:

LangChain Integration: Learn how to create a LangChain chain for database queries.
SQL Query Generation: Understand the process behind generating SQL queries from natural language questions.
Interactive Diagram: A detailed diagram explains the architecture and process flow.
Comprehensive Code Walkthrough: From setting up your environment to executing queries, every step is covered.

Who Should Watch?
This tutorial is perfect for developers, data scientists, and tech enthusiasts interested in leveraging LangChain for database interactions. Whether you're looking to enhance your projects or explore new technologies, this guide has something for everyone.

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Happy Coding! 🚀