← All IntelClip / AI ToolsOutline traversal vs. full-text search fallback
From AI on Your Lakehouse: Context Comes in Shapes, Not Queries — Zach Blumenfeld, Neo4j · ≈1:50:09
“it's a good lesson that when it does use the outline, it can come back faster because it can traverse out on the different links.”
“there was basically two field codes um that got a um yeah the headline mismatch or diagnosed with the wrong procedure.”
What’s in it
- Shows an AI agent debugging mismatched repair codes in library docs
- Compares outline-based traversal vs slow full-text semantic search for agents
- Real example of finding undocumented diagnostic trouble codes (DTCs)
Clip transcript
more of a um, and it will do this sometimes. Here it used semantic expansion. Um, so it actually went in and did a much more comprehensive um, semantic expansion search. It's supposed to in this case use the outline. I think because it had the hierarchical URI um, it was probably able to do this a little bit better. Um but if I go back up um where did it show? Um yeah it well it was able to show here the field codes essentially um that it was missing. So um there was basically two field codes um that got a um yeah the headline mismatch or diagnosed with the wrong procedure. Um, so there's basically this mismatch um where a couple of these parts on the library document. Yeah. So there where the correct repair isn't um referred to basically. Um and that's causing a problem for the warehouse. Um and then there's other um DTC codes that occur in the field. Exactly. that have two um that have no code level documentation which are these two. So there's codes that are occurring which basically aren't documented that it was able to find. Um it's a shame here that it didn't use the outline it's supposed to do that because basically when it uses the outline it's able to traverse through and find all of the links a little bit more efficiently. It wouldn't have done the comprehensive full text search crawl that took it a while in this case. Um, but even here because it had the hierarchical URIs and that semantic expansion on the um, full text search, it was able to eventually find it. Um, but it's a good lesson that when it does use the outline, it can come back faster because it can traverse out on the different links.
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