SuperNova RAG is a practical demonstration of building and running a local server that uses Retrieval-Augmented Generation (RAG) for semantic search over internal documentation. Built with Node.js and TypeScript, it leverages Hugging Face embeddings and an in-memory vector store for fast, context-aware answers. This allows developers to quickly find relevant information within their documentation, directly within tools like Cursor, enhancing productivity and reducing time spent searching for answers.