How does this work under the hood? Does it build an in-memory vector database of the input sources and runs queries on top of that data to supplement the context window?
RAG commonly implies some sort of vector database to be built and which will then be used for response augmentation. If it operates over the repo, I believe it will index your codebase using those vector embeddings.