RAG systems can be deployed locally with open-source models to answer domain-specific technical questions while maintaining data privacy and reducing costs compared to cloud-based alternatives.
Researchers built a question-answering system for nuclear physics using retrieval-augmented generation (RAG) with a local LLaMA model and arXiv articles about the Electron-Ion Collider experiment. This approach keeps sensitive scientific data private while providing a cost-effective alternative to cloud-based solutions.