The Neo4j LLM Knowledge Graph Builder provides a user-friendly interface for uploading PDF files and other web sources, generating graphs using LLMs, and interacting with the generated knowledge graph through a chat experience. The tool's front-end architecture is built using React for application logic and components, Axios for handling network calls and responses, and long polling or server-sent events (SSEs) for real-time data updates. The UI guides users through each step of the knowledge graph-building process and chat experience, making it accessible and easy for users with varying levels of technical expertise. The system employs the Neo4j Needle Design System to ensure consistency, accessibility, and a polished design. Key features include automated graph generation and visualization, a robust chat interface with RAG, explainable answers, and Ragas metrics for response evaluation, as well as real-time updates via SSEs, table filtering, and reprocessing capabilities. Overall, the application combines modern design principles and usability with advanced features, empowering users to effortlessly build, refine, and interact with knowledge graphs, making data insights more accessible and actionable.