A unified visualization of my career, projects, and technical architecture — powering the AI chatbot's RAG system.
This interactive graph represents the Knowledge Base used by LLMs to understand context. Instead of just retrieving text, GraphRAG (Graph Retrieval-Augmented Generation) allows the AI to traverse relationships — e.g., "What skills did Arslan use in the Lead Management project?" — to provide more accurate, context-aware answers.
How it works: The nodes (Entities) and edges (Relationships) are vectorized. When you ask a question, the system finds relevant sub-graphs here to ground its response in factual data.