Next.js AI Chatbot is an open-source template for AI chatbot development that integrates Next.js with the AI SDK from Vercel.
It enables developers to build high-performance AI chatbots with a modern stack, using advanced features of Next.js and a unified API for language models.
This template supports server-side rendering with React Server Components and includes built-in data persistence and authentication for a comprehensive development experience.
You can use this template to incorporate AI capabilities without complex configurations, as it supports various AI model providers like OpenAI, Anthropic, and Cohere.
Features
⚡ Next.js App Router: Advanced routing for smooth navigation and enhanced performance.
🧠 AI SDK Integration: Unified API to generate text, structured objects, and tool calls with various language models.
💾 Data Persistence: Vercel Postgres for chat history and Vercel Blob for file storage.
⚙️ React Server Components (RSCs) & Server Actions: Improved server-side rendering to boost performance.
🎨 Shadcn/ui & Tailwind CSS: Stylish and accessible UI components with Radix UI primitives.
🔒 NextAuth.js: Simple and secure authentication implementation.
Use Cases
- Customer Support Chatbot: Integrate a chatbot into your e-commerce site to handle customer inquiries and provide support. The AI SDK can generate responses based on user inputs, making the interaction more dynamic and helpful.
- Content Generation Tool: Use the chatbot to generate blog posts, articles, or social media content. The unified API allows for easy integration with various language models, ensuring high-quality and relevant content.
- Educational Assistant: Create a chatbot for educational platforms to assist students with queries, provide explanations, and generate practice questions. The AI capabilities can enhance the learning experience by offering personalized support.
- Internal Communication Tool: Develop a chatbot for internal company communication to streamline information sharing and improve collaboration. The chatbot can answer frequently asked questions, provide updates, and facilitate team discussions.
- Personal Assistant: Build a personal assistant chatbot that helps users manage their daily tasks, set reminders, and provide recommendations. The AI SDK can generate personalized responses based on user preferences and past interactions.
Installation
- Install Vercel CLI:
npm i -g vercel- Link Your Project:
vercel link- Pull Environment Variables:
vercel env pull- Install Dependencies:
pnpm install- Start the Development Server:
pnpm dev
Access your app on localhost:3000.
Ensure sensitive information like API keys is stored securely in environment variables and not committed to your repository.
Related Resources
- Vercel Documentation: Official documentation for Vercel, providing detailed guides on deployment and environment variables. Vercel Docs
- Next.js Documentation: Comprehensive documentation for Next.js, covering all features and best practices. Next.js Docs
- Tailwind CSS Documentation: Official documentation for Tailwind CSS, offering detailed guides on styling and utility-first CSS. Tailwind CSS Docs
- Radix UI Documentation: Documentation for Radix UI, providing accessibility and flexibility with component primitives. Radix UI Docs
FAQs
Q: How do I manage user authentication in the chatbot?
A: The template includes NextAuth.js, which provides a simple and secure way to handle authentication.
Q: Can I customize the UI components?
A: Yes, shadcn/ui components are fully customizable using Tailwind CSS classes.
Q: Can I use this template for non-Next.js projects?
A: No, this template is specifically designed for Next.js. Consider adapting individual components for other frameworks.
Q: What are the system requirements for running the chatbot locally?
A: You need Node.js and npm or pnpm installed on your machine. Additionally, ensure you have the Vercel CLI installed for environment variable management.
Q: How do I switch language model providers?
A: You can switch language model providers by modifying a few lines of code in the AI SDK configuration. The template supports OpenAI, Anthropic, Cohere, and many more providers.
Q: Can I deploy the chatbot to platforms other than Vercel?
A: While the template is optimized for deployment on Vercel, you can deploy it to other platforms by configuring the environment variables and following the platform-specific deployment instructions.
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