Yes, this is an excellent RAG use-case! The vector index that I use in the repository uses EvaDB [1] to retrieve the top-K matches to the user queries from the available data sources. So, you can manually inspect the best matches to your query from the research article and verify the correctness of the LLM responses.
[1] https://github.com/georgia-tech-db/evadb