Talk-with-MySQL-Databae-with-Lang-Chain

we'll explore how to set up a chat interface with a MySQL database using Python and LangChain. We'll create a LangChain chain that enables natural language interaction with the database and utilizes the LangChain wrapper of SQLAlchemy for database interaction.

In this tutorial, we'll explore how to set up a chat interface with a MySQL database using Python and LangChain. We'll create a LangChain chain that enables natural language interaction with the database and utilizes the LangChain wrapper of SQLAlchemy for database interaction.

Before starting, ensure you have the following installed:

Python 3.9 or later

MySQL

SQLite

In this section, we'll set up the Chinook database. This is a sample database that represents a digital media store, including tables for artists, albums, media tracks, invoices, and customers. We will use this database to test our chatbot. For easy access, you can download the latest SQL file from this link.

Install the necessary Python libraries using pip:

pip install langchain mysql-connector-python