video1.0<iframe src="https://www.loom.com/embed/23b00e6795e342f7a7d30f07a5f5b5ab" frameborder="0" width="2816" height="2112" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>21122816Loomhttps://www.loom.com21122816https://cdn.loom.com/sessions/thumbnails/23b00e6795e342f7a7d30f07a5f5b5ab-aea08094df930b1a.gif1002.348In this video, I developed an agentic graph-based track system that transforms unstructured documents into intelligent knowledge graphs. The system includes services for document ingestion, ontology extraction, and graph construction, allowing for various query methods like semantic and vector search. I demonstrate the functionality with a sample user interface, showcasing how documents are processed and how ontologies and relationships are extracted. While I aimed to host a live demo, I faced some challenges, but I encourage viewers to provide feedback on the features presented. Please let me know your thoughts and any suggestions for improvement.