Building a RAG Chatbot for the Health Domain with Next.js

The tutorial details the construction of a modern Health Assistant chatbot using technologies like Next.js, Upstash, Vercel AI SDK, LangChain, and OpenAI, focusing on Retrieval-Augmented Generation (RAG) to enhance the chatbot’s functionality within the health sector. The chatbot uses a Scrapy crawler for data collection, which is stored as vector embeddings in the Upstash Vector Database to facilitate similarity searches, enabling real-time, contextually relevant responses generated by OpenAI models. The chatbot interface, built with Vercel AI SDK, uses streaming text functionality to ensure a dynamic user experience, while rate limiting via Upstash helps maintain performance by controlling request flow. The guide also provides instructions for running the chatbot locally and deploying it to Vercel, emphasizing the potential for similar applications in various domains with appropriate modifications.