Learn to Build an AI-Powered SQL Playground with Next.js and OpenAI

Learn to Build an AI-Powered SQL Playground with Next.js and OpenAI

Table of Contents:

1. Introduction
2. Building AI-Powered SQL Playground
   • Connecting to a Postgres Database
   • Viewing Tables and Columns
   • Using the SQL Editor
   • Conversing with the AI Chatbot
3. Incorporating OpenAI and Vercel AI SDK
   • Accessing OpenAI's API
   • Leveraging the ChatGPT Model
   • Introducing the Vercel AI SDK
4. Exploring UI Code for the Chatbot
   • Sheet Component
   • SheetTrigger
   • SheetContent
   • Header Component
   • Messages Component
   • Form and Prompt Component
   • UseChat Hook
   • Jotai State Management
5. Implementing the API Endpoint
6. Using the NEON Serverless Driver
   • Querying Data with Neon
   • Overcoming Connection Limitations
   • WebSocket and HTTP Options
7. Conclusion
8. Try Out the SQL Playground
9. Open Source and Contact Information
10. Frequently Asked Questions (FAQ)

Building an AI-Powered SQL Playground

The development of an AI-powered SQL playground involved the integration of various technologies and libraries such as Next.js, OpenAI, Neon, and more. This playground allows users to Interact with a Postgres database, execute queries, and even engage in conversations with an AI chatbot. Let's explore the different components and functionalities of this project step by step.

1. Introduction

The introduction provides an overview of the AI-powered SQL playground and its Core features. It explains how users can utilize the playground to interact with a database, execute queries, and converse with the AI chatbot.

2. Building AI-Powered SQL Playground

In this section, we Delve into the process of building the AI-powered SQL playground. We start by discussing the steps to connect to a Postgres database using Neon. Then, we explore how users can view tables and columns within the database. Additionally, we highlight the functionality of the SQL editor, which allows users to write and run queries.

3. Incorporating OpenAI and Vercel AI SDK

To enable AI functionalities within the playground, we leverage two essential tools: OpenAI and the Vercel AI SDK. We explain how OpenAI's API provides access to AI models and how the playground utilizes the ChatGPT model. We also introduce the Vercel AI SDK, which simplifies the development of AI-powered user interfaces and chat experiences.

4. Exploring UI Code for the Chatbot

This section focuses on the UI code responsible for the chatbot component of the playground. We break down the components involved, including the Sheet component for managing the dialog's state, the SheetTrigger button to initiate the dialog, and the Messages component for rendering the chat messages. We also explain the use of the form and prompt components, along with the integration of the useChat hook and Jotai state management library.

5. Implementing the API Endpoint

Here, we provide insights into the implementation of the API endpoint for the chatbot. The endpoint is responsible for processing POST requests and interacting with the OpenAI API. We discuss how the endpoint retrieves messages and the database schema, how the AI model is instructed to answer specific questions, and how the typewriter effect is achieved.

6. Using the Neon Serverless Driver

The Neon serverless driver plays a crucial role in enabling query execution and retrieving schema information. We explain how the driver overcomes connection limitations, including its support for querying over WebSockets and HTTP. Furthermore, we elaborate on the functions used to run queries and retrieve the latest schema information.

7. Conclusion

This section summarizes the main points discussed throughout the article and emphasizes the benefits and potential of the AI-powered SQL playground.

8. Try Out the SQL Playground

Readers are encouraged to try out the fully functional AI-powered SQL playground, accessible at neon.tech/demos/playground. They can explore its features, execute queries, and even engage in conversations with the AI chatbot.

9. Open Source and Contact Information

The article concludes with information about the playground's open-source nature and provides contact details for readers to reach out with questions or feedback regarding the usage of Neon with Next.js and the demo.

10. Frequently Asked Questions (FAQ)

Lastly, we address commonly asked questions related to using the AI-powered SQL playground, its features, and its underlying technologies. These FAQs aim to provide additional clarification and assistance to users.