Build a RAG Chatbot with Upstash, OpenAI, Clerk, and Next.js

This tutorial provides a comprehensive guide to creating a personalized career coach application using a combination of technologies, including Upstash Vector, Upstash Redis, OpenAI API, Clerk, Next.js App Router, and Vercel. The process involves setting up Upstash to manage vector embeddings and chat history, using Clerk for user authentication, and integrating OpenAI to generate AI-driven responses. It details the creation of API endpoints within Next.js for managing chat interactions and context addition from user-uploaded PDFs, alongside the development of a user interface that incorporates authentication and file upload capabilities. The application uses the Upstash RAG Chat SDK to streamline vector embedding and context management, facilitating an AI-powered interactive experience. Finally, the project is prepared for deployment on Vercel, with instructions on environment variable configuration and project setup.

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