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ai-chatbot

Create a full-featured AI chatbot with Next.js 15 and React 19.

15|5|Updated Dec 5, 2025
Search Tags:#authentication#ai#next.js#drizzle orm#chatbot#vercel ai gateway
One-click install
npx skills add https://github.com/rebyteai-template/rebyte-skills --skill ai-chatbot-rebyteai-template
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-chatbot
Source: https://github.com/rebyteai-template/rebyte-skills/tree/main/ai-chatbot
Command: npx skills add https://github.com/rebyteai-template/rebyte-skills --skill ai-chatbot-rebyteai-template

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a robust foundation for creating a full-featured AI chatbot, streamlining the development process for complex conversational AI applications.

Core Features & Use Cases

  • Full-Stack Chatbot: Includes Next.js 15, React 19, authentication, and database integration.
  • Multi-Model Support: Integrates with various AI models via Vercel AI Gateway.
  • Use Case: Develop a customer support chatbot for your e-commerce site that can answer FAQs, process returns, and escalate complex issues to human agents.

Quick Start

Clone the template repository and install dependencies using pnpm.

Frequently Asked Questions about ai-chatbot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a full-stack AI chatbot with Next.js 15 and React 19?▼

To build a full-stack AI chatbot with Next.js 15 and React 19, you can use a foundation that integrates Auth.js for authentication, Drizzle ORM for database management, and the AI SDK for multi-model capabilities. This template provides that robust setup to streamline development.

Does this Next.js chatbot template support user authentication and database persistence?▼

Yes, this Next.js chatbot template supports user authentication via Auth.js and handles data persistence using Drizzle ORM with PostgreSQL. It also includes features for file storage to manage complete conversational application states.

How can I integrate multiple AI models into a Next.js chat application?▼

You can integrate multiple AI models into a Next.js chat application by utilizing the Vercel AI Gateway and AI SDK. This template facilitates multi-model capabilities, allowing your chatbot to route conversations through various AI providers.

What is the best way to create a hackable customer support chatbot for an e-commerce site?▼

The best way to create a hackable customer support chatbot is using a full-stack foundation like this Next.js 15 template. It enables rapid development of customizable AI chatbots that can process returns, answer FAQs, and escalate complex issues.

Do I need PostgreSQL and Drizzle ORM to use this AI chatbot template?▼

Yes, PostgreSQL and Drizzle ORM are required to handle data persistence for this AI chatbot template. They manage user data and chat history storage, ensuring the full-featured chatbot application maintains state across sessions.

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