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Multi-Modal Chatbot

This template provides a multi-modal chatbot application built with Next.js and the Vercel AI SDK, enabling rich conversational experiences with vario...

Introduction

This template showcases a multi-modal chatbot application built using Next.js and the Vercel AI SDK. It provides a robust foundation for creating interactive chat interfaces capable of sending and receiving diverse message types, including text and attachments, from various AI providers.

Key Features:

  • Multi-Modal Messaging: Leverage the useChat hook from the Vercel AI SDK to handle both text and attachment-based inputs and outputs, enabling richer conversational experiences.
  • Next.js Integration: Built on the Next.js framework, ensuring optimal performance, server-side rendering capabilities, and a streamlined development workflow.
  • Flexible AI Provider Support: Designed to work with the AI provider of your choice (e.g., OpenAI, Anthropic), allowing for easy integration and switching between different large language models.
  • Developer-Friendly Setup: Includes clear instructions for local development, covering dependency installation (npm install), environment variable configuration (using .env based on .env.example), and launching the development server (npm run dev).

Use Cases: This template is ideal for developers looking to quickly prototype or build:

  • Advanced Chatbots: Create chatbots that can understand and respond to complex queries involving images or other file types.
  • Interactive AI Assistants: Develop AI assistants for customer support, content generation, or data analysis that can process and generate multi-modal content.
  • Educational Tools: Build learning platforms where users can interact with AI using various media formats.

Getting Started: To deploy your own version, you can use the Vercel "Deploy" button or bootstrap the example using create-next-app with npm, Yarn, or pnpm:

npx create-next-app --example https://github.com/vercel-labs/ai-sdk-preview-attachments ai-sdk-preview-attachments-example

After cloning, sign up for your desired AI providers, obtain API keys, and set them in a .env file. Then, install dependencies and run the development server.

Learn More: Explore the Vercel AI SDK docs, Vercel AI Playground, and Next.js Documentation for deeper insights into the technologies used.

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