Turn Product Docs into a RAG-Powered App with Vercel and Astra DB

The RAGBot template, created using Next.js and hosted on Vercel, offers a customizable chat app implementing retrieval augmented generation (RAG) with the help of the Vercel AI SDK, new OpenAI Assistant API, and DataStax Astra DB vector search. Users can switch large language models (LLMs) and toggle RAG on and off to test their model's performance. Deployed via Vercel's Frontend Cloud, this template is part of the company's Template Marketplace, offering pre-built, customizable project starters for Next.js web applications. The RAGBot chatbot starter uses React and Next.js for its frontend and TypeScript with the Vercel AI SDK for its backend. It also demonstrates how to use the Vercel AI SDK to vectorize sample datasets and integrate them into an Astra DB vector database.