SuperNova RAG FAQs

Question 1

What is MCP and how does it relate to SuperNova RAG?

Accepted Answer

MCP stands for Model Context Protocol. SuperNova RAG implements an MCP server, allowing it to integrate with MCP-compatible tools like Cursor for seamless contextual documentation search.

Question 2

What is SuperNova RAG?

Accepted Answer

SuperNova RAG is a tool that allows you to perform semantic searches over your internal documentation using a local server with Retrieval-Augmented Generation (RAG). It utilizes Hugging Face embeddings for accurate results.

Question 3

How do I integrate SuperNova RAG with Cursor?

Accepted Answer

You can add a new MCP server in Cursor's settings, pointing to the SuperNova RAG server. Make sure to set up your Hugging Face API key and configure the command and arguments correctly, following the guide in the README.

Question 4

What are the limitations of SuperNova RAG?

Accepted Answer

The current implementation uses an in-memory vector store, which is suitable for small to medium documentation sets. It also generates embeddings on-the-fly during server startup. For larger datasets, consider a persistent vector database.

Question 5

How does SuperNova RAG work?

Accepted Answer

It loads your documentation, chunks it, generates embeddings using Hugging Face, and stores them in an in-memory vector store. When you ask a question, it performs a semantic search to find relevant chunks and provides an answer using RAG.

SuperNova RAG

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