If you have a prompt and you want to extract JSON data efficiently, look no further! JSON Data AI is a powerful tool designed to help you get JSON data about anything based on your specifications. This article will guide you through the setup process, the components used, and some troubleshooting advice.

Project Overview

This repository is built on a robust stack that includes:

• Vercel AI SDK
• Vercel VK Storage for rate limiting
• OpenAI GPT-4
• Shadcn UI
• Supabase
• React Hook Form for dynamic forms

How to Get Started

Getting your JSON Data AI application up and running is straightforward. Follow these steps:

Step 1: Install Dependencies

First things first, you need to install the dependencies using your preferred package runner. You can do this by running the command:

sh bun i

Step 2: Create Environment Variables

Next, create a .env.development file. This file will store your environment variables.

You’ll need to set up the following variables:

KV_REST_API_READ_ONLY_TOKEN=
KV_REST_API_TOKEN=
KV_REST_API_URL=
KV_URL=
SUPABASE_API_KEY=
NEXT_PUBLIC_SUPABASE_URL=
NEXT_PUBLIC_SUPABASE_ANON_KEY=\$SUPABASE_API_KEY
OPENAI_API_KEY=

Step 3: Configure Supabase

Visit your Supabase project settings to retrieve your API key and app URL. Fill in the corresponding variables in your .env.development file.

Step 4: Configure OpenAI

Similarly, go to the OpenAI account settings at OpenAI API Keys to retrieve your API key and include it in your environment variables.

Step 5: Run the Application

Finally, run the application using the following command:

sh bun run dev

Understanding the Code Structure

Imagine your JSON Data AI setup is like a restaurant. Each component plays a specific role, just like restaurant staff do:

• Vercel AI SDK: This is the chef who prepares your delicious dishes (data) based on the specific orders (prompts) you provide.
• Vercel VK Storage: Think of this as a storage room to ensure you never run out of ingredients (data). It manages how much you can stock, or in the case of the app, how many requests you can make before hitting a limit.
• OpenAI GPT-4: The talented sous-chef that adds innovative recipes (AI-based responses) to your menu, enhancing the dining experience (data retrieval) for patrons (users).
• Shadcn UI: The beautiful decor of your restaurant which provides a seamless dining experience, akin to how the interface engages users.
• Supabase: Your business partner who keeps track of all your bookings (database records), making it easy to manage customers (requests).
• React Hook Form: The efficient waiter who dynamically takes orders (inputs) from customers (users), ensuring their experience is streamlined and personalized.

Troubleshooting

If you encounter any issues during setup or execution, consider the following troubleshooting steps:

• Double-check your environment variables in the .env.development file to ensure that all necessary keys are correctly filled in.
• Ensure that your package runner and dependencies are installed correctly.
• Make sure you have the correct permissions set up in Supabase, as lack of access may cause issues when trying to fetch data.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

With JSON Data AI, you’ll be able to gather and manage JSON data effortlessly based on your prompts. Follow the steps outlined in this guide, and you’ll be set to harness the power of AI-driven data retrieval!

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.