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Gemini AI Chatbot

Gemini-powered chatbot with the Vercel AI SDK, Next.js, and React, offering a robust foundation for AI applications.

Introduction

The Gemini AI Chatbot is a robust, open-source template designed for building intelligent conversational applications. It leverages the power of Google's Gemini models, integrated seamlessly with the Vercel AI SDK, Next.js, and React. This template provides a solid foundation for developers looking to create high-performance, scalable, and secure AI-powered chatbots.

Key Features:

  • Next.js App Router: Utilizes advanced routing capabilities, React Server Components (RSCs), and Server Actions to ensure seamless navigation and enhanced server-side rendering performance.
  • Vercel AI SDK: Offers a unified API for interacting with various Large Language Models (LLMs), enabling the generation of text, structured objects, and tool calls. It includes powerful hooks for developing dynamic chat and generative user interfaces. While Google Gemini (gemini-1.5-pro) is the default, the AI SDK allows for easy switching to other providers like OpenAI, Anthropic, and Cohere.
  • shadcn/ui: Provides a modern and accessible UI foundation. It uses Tailwind CSS for styling and leverages component primitives from Radix UI, ensuring both aesthetic appeal and robust accessibility.
  • Data Persistence: Integrates Vercel Postgres (powered by Neon) for reliable storage of chat history and user-specific data. Additionally, Vercel Blob is used for efficient object storage, ensuring your application can handle various data types.
  • NextAuth.js: Implements simple and secure authentication, making it easy to manage user access and protect sensitive information within your chatbot application.

This template is ideal for developers who want to quickly deploy a sophisticated AI chatbot, offering flexibility in LLM providers and a strong, modern tech stack. It's designed for both rapid prototyping and production-ready applications, with clear instructions for local development and one-click deployment to Vercel.

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