We leveraged the nascent AI native RAG and Graph Database to develop a resume screening and shortlisting tool. Traditional ATS systems often present challenges for hiring managers and recruiters. Strict text-matching methods may screen out capable, qualified candidates who word their resumes differently from the job description. To address this issue, we employed a GraphDB to uncover latent relationships among entities, enabling a more semantic understanding of candidate profiles. Additionally, we packaged these capabilities into a chatbot interface, allowing hiring managers to interact with resumes and job descriptions using natural language.