Home > AI Solutions > Gen AI > White Papers > HR-Assist: Proof of Concept RAG-Based Matching Assistant > Solution approach
We implemented the HR-Assist chatbot that delivers suggestion-driven recommendations using a collection of manager and team member data through survey forms. The chatbot ingests the formatted files, allowing the model to leverage the dataset and generate a recommendation using natural language. With the model employing In-Context Learning (ICL), the chatbot can infer the input data along with the prompt to produce the required output.
The chatbot operates through a lightweight, easy-to-use web app to facilitate the dynamic interaction between the user and the AI model, thus providing a real-time user-friendly HR recommendation system. Our solution, the HR-Assist chatbot, matches team members to rotation projects according to pre-defined preferences, generating optimized suggestions and making a simple process explicable and easily repeatable. An enterprise-grade solution can be deployed with blueprints from the Dell AI Factory and NVIDIA Microservices.
The following figure illustrates the overall architecture of our solution:
This proof-of-concept solution includes the following hardware and software components: