This project provides a template for building AI-powered applications that ingest and structure JSON data based on user prompts. It's designed for developers looking to quickly prototype or deploy data-centric AI solutions, leveraging a modern web stack for a seamless user experience.

How It Works

The template utilizes the Vercel AI SDK to integrate with large language models, specifically OpenAI's GPT-4, to process natural language prompts and generate structured JSON output. It employs React Hook Form for dynamic form creation, Shadcn UI for a polished interface, and Supabase for backend services, including data storage and authentication. Vercel KV is used for implementing rate limiting.

Quick Start & Requirements

• Install dependencies: bun i
• Setup environment variables: Create a .env.development file with 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, and OPENAI_API_KEY.
• Run the app: bun run dev
• Prerequisites: Node.js, Bun, Vercel KV, Supabase, OpenAI API key.

Highlighted Details

• Leverages Next.js 13 for modern React development.
• Integrates Vercel AI SDK for seamless LLM interaction.
• Utilizes Shadcn UI and React Hook Form for efficient UI development.
• Includes Vercel KV for rate limiting and Supabase for backend services.

Maintenance & Community

The project is maintained by enesozturk. Further community or roadmap information is not detailed in the README.

Licensing & Compatibility

Licensed under the MIT License. This permissive license allows for commercial use and integration into closed-source projects.

Limitations & Caveats

The project relies on several external services (Vercel KV, Supabase, OpenAI), requiring API keys and potential costs. Setup involves configuring multiple environment variables.