<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/5948dff792f24b988d3b2479b116aeb0&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/5948dff792f24b988d3b2479b116aeb0-f37ea0261cbe5364.gif</thumbnail_url><duration>134.691</duration><title>Building CrewLink with a Graph Database</title><description>This Loom explains CrewLink, a graph database based crew collaboration network for film and TV. It uses Cognodb with Cypher over Bolt, plus an Express backend and a vanilla JavaScript frontend, to answer queries like shortest collaboration chains between people. When viewing a person such as Daniel Rose, the app runs three parallel queries for credits, direct collaborations, and crew recommendations based on second degree connections. It also features a connection finder that uses a native shortest path operation without a fixed hop limit, finding a real 4 hop chain from Tom Whitfield through Long Recess to Maya Allison through Glass Horizon, then to Ico.</description></oembed>