Structuring the Video Internet: How Vpin Uses Neo4j to Turn Watching into Learning

Session Track: App Dev

Session Time: 05:30 am - 06:00 am November 6

Session description

In this session, the speaker will highlight a pressing issue: while the internet is saturated with video content, extracting and reusing actionable knowledge from these videos remains a significant challenge. Without intervention, most video-based learning will remain passive and unstructured. The speaker will introduce Vpin, a video-first AI learning platform powered by generative AI and Neo4j, designed to transform passive video consumption into structured, searchable learning experiences. Attendees will see how users curate videos, how AI extracts key knowledge points, and how Neo4j organizes this information into a structured, reusable graph. This approach supports micro-learning and enables knowledge sharing by “video influencers.” We will then explain why Neo4j was chosen. Graph databases allow the representation of complex relationships—between videos, highlights, concepts, tags, and users—making semantic navigation and thematic exploration possible. Ultimately, this integration transforms scattered video browsing into productive personal knowledge graph building, where knowledge becomes visible, navigable, and logically explicit. This opens a largely unexplored frontier: bringing ontology-powered services directly to consumers.