Home > AI Solutions > Gen AI > White Papers > HR-Assist: Proof of Concept RAG-Based Matching Assistant > Software design
Retrieval-augmented generation (RAG) is a core component of the solution that combines generative models to offer accurate and contextually relevant suggestions. Advanced AI and machine learning algorithms analyze the collected data and generate optimized matching suggestions. In an enterprise setting, NVIDIA Inference Microservices (NIM) would provide the necessary computational power for processing extensive datasets across distributed systems tasks. However, we have adapted the architecture to fit a smaller scale, containerized environment for this HR proof of concept.