Home > AI Solutions > Gen AI > White Papers > HR-Assist: Proof of Concept RAG-Based Matching Assistant > Solution approach
The Dell Reference Design for Scalable Architecture for Retrieval-Augmented Generation (RAG) was inspirational for this proof-of-concept solution. RAG is designed to sift through massive datasets, identify patterns, and make connections that would be impossible for humans to process in the same time frame. This system doesn’t just analyze data—it learns from it. As the conversation progresses, it continuously adapts its suggestions, ensuring that the matches it provides are accurate and incrementally improving over time based on user interactions. In environments where real-time data processing is crucial, the RAG method ensures that the HR-Assist chatbot can deliver insights quickly and reliably.
While the full enterprise solution leverages NVIDIA Microservices to handle extensive data and workloads, this proof-of-concept version utilizes a more accessible setup. By scaling down the infrastructure, the chatbot still delivers powerful AI-driven insights but in a way that is more manageable for smaller organizations or pilot projects. This approach allows teams to test and refine the solution without requiring large-scale infrastructure, making it ideal for those who want to explore the benefits of AI without committing to the full enterprise setup.