Graph Database Expert

It covers graph modeling patterns, relationship design, and traversal strategies with a focus on SurrealDB while applying generic graph concepts. The source includes detailed testing patterns with actual pytest fixtures, query optimization guidance, and practical examples of multi-hop traversals with depth limits. What stands out is the strong emphasis on performance from the start, requiring explain plans and depth limits on every query rather than treating optimization as an afterthought. The risk level is set to medium because bad graph queries can tank your database, and the included test patterns showing proper depth limiting and traversal validation make that clear.