RAG with Vercel AI SDK

This template provides a retrieval-augmented generation (RAG) chatbot built with Next.js and the Vercel AI SDK. It leverages Drizzle ORM and PostgreSQL for vector embedding storage, enabling the chatbot to reason and respond with information beyond its initial training data. Key features include information retrieval through tool calls using the streamText function, real-time streaming of model responses to the frontend via the useChat hook, and an animated UI powered by Framer Motion. To get started, install dependencies with npm install, copy the example environment file using cp .env.example .env, add your Vercel AI Gateway API key and PostgreSQL connection string to the .env file, migrate the database schema with npm run db:migrate, and start the development server using npm run dev. This template is ideal for developers looking to build intelligent chatbots that can access and utilize external knowledge sources.