The ISLEAF() check is really a question about granularity, and I see the same pattern in semantic search. When a query mixes multiple dimensions of a requirement into one vector, you get the equivalent of a subtotal row, an averaged blob that matches nothing precisely. This is exactly the problem I was solving with Opportunity Skill, where human discovery splits a complex requirement into up to five focused queries so each one hits a single attribute, the same logic as your SCOPE isolation but applied to embedding vectors instead of MDX hierarchies.
Distinguishing Excel Subtotal Rows from Detail Rows in SSAS Multidimensional MDX
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I enjoy building web applications and exploring new technologies. Most of my time goes into improvin... Show moreI enjoy building web applications and exploring new technologies. Most of my time goes into improving my problem solving skills, writing clean code, and learning better ways to build scalable software. I’m always curious about development, performance optimization, and modern web tools. Show less
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