Chat with MySQL Database using AI | ChatGPT Tutorial
There are several challenges that are difficult to overcome in a lot of SMEs:
- Some internal users need insights from the database but either do not wish to or lack the ability to write SQL queries.
- Imagine you are developing an analytics dashboard for your customers. When they want to execute complex or flexible queries that your dashboard does not support, it becomes challenging for them to obtain the desired insights. Similarly, it is difficult for you to develop a highly capable and adaptable dashboard that can cater to any user queries.
For the scenarios mentioned above, the optimal solution is to build an AI Chatbot. This tool enables both you and your customers to interact directly with your MySQL database.
In this article, we will cover the best practices for building an AI Chatbot for MySQL databases.
There are several methods to create a MySQL Chatbot; here are some of them:
1. By utilizing Langchain and the MySQL connector, you can construct your own Chatbot from the ground up.
2. By employing SQL AI tools like Vanna AI, you can manually train your AI and craft your interface from scratch.
3. By using AskYourDatabase, you can create a Chatbot in under 5 minutes without any setup required.
If you prefer not to engage in complex coding or lack the time to develop the Chatbot yourself, we highly recommend trying the third option. Here's why:
No Code Required
Whether for internal use or for integrating a Chatbot into your website, AskYourDatabase does not require you to write a single line of code. All you need to do is provide your database configuration and connect your database within AskYourDatabase.
Chat-Based Interaction
Often, you may not desire a simple text-to-SQL solution but rather a real "Agent" that can query your database, explain the results to you, and even automatically correct SQL errors.
Currently, other SQL AI tools simply generate an SQL query and, after executing it, display the results in a table.
However, AskYourDatabase goes beyond merely displaying a table. It understands the results, outputs data in the format you prefer, and can even perform further data analysis for you.
Versatile and Highly Accurate
It remains effective even when dealing with thousands of tables that have less-than-ideal naming conventions. For the most challenging scenarios, you can still achieve high accuracy by supplementing with comments and training data.
Built-in Visualization and Data Analysis
Business insights frequently require visualization and data analysis, and AskYourDatabase provides these capabilities out of the box. It features a secure sandbox Python environment for creating visuals and conducting analysis:
Using AskYourDatabase is intuitive and straightforward. For internal use cases, simply utilize their desktop application.
Download the App
You can download the app for free here: Download app.
Connect to Your Database
Just input your connection string and click "Connect." After a successful connection, you will be directed to a Chat window, where you can ask any questions regarding your database:
If you want to perform data analysis and visualizations, simply ask, and it will execute the necessary Python code for you:
Conclusion
There are multiple approaches to constructing your own MySQL chatbot, although many require intricate setup and extensive coding.
For those with a professional engineering team willing to invest in developing a custom Chatbot from scratch, tools such as Langchain or Vanna AI are recommended.
However, if you're seeking an out-of-the-box solution that aligns with best practices, opting for solutions like AskYourDatabase is advisable. This approach not only saves you considerable time but also ensures an optimal user experience.