Count the traversals in the path the post describes. WM-500 leads to Major Appliance, Major Appliance leads to the extended return policy, and that policy then introduces membership tier and purchase amount as further checks [11]. Three steps before the agent even learns there are two more conditions to satisfy [19]. Neither condition appears in the user's wording, because the question was about a broken washing machine [9].
The arithmetic at the end of that walk is trivial. The purchase is $899 against a floor of $500, clear by $399 [18]. The extended window is 120 days against the 90 the agent cited, so 30 days wider, which is the entire dispute [17]. Retrieval was the failing stage; the reasoning held.
The split in the implementation is worth reading carefully. Extraction runs over source content into the graph, traversal runs at retrieval time to gather context beyond the initial matches [12], and the text chunks still supply the supporting evidence and the citations [13]. The audit trail keeps its shape. What changes is which chunks are in the window when the model writes its answer.
The failure mode I would test for first is the one Salesforce names itself. A graph that connects WM-500 to Major Appliance and Major Appliance to the extended policy, but holds no membership requirement, cannot tell an eligible Gold member from a customer who does not qualify, and loading more customer records will not repair it [15]. Traversal cannot recover a condition the graph never captured [14]. So the structural decision comes before population [16]. That ordering is right. It is also the part that costs you a quarter.
The mechanism only transfers to your stack if a few conditions hold. Your entities have to resolve to one identity across systems, since in the example the classification sits in a catalog, the rule in a wiki, and the tier in the CRM [3]. The rule has to be written somewhere an extractor can reach, and "over $500, by Gold or Platinum members" is a sentence in a wiki rather than a column in a table [7]. And the questions that are failing have to be conditional decisions rather than lookups, which is the triage the post asks for before any architecture change [10]. An exceptions wiki doing load-bearing work is a thought I would want to sit with if I owned that wiki.
As published, the argument runs on a single illustrative case [20] with no measured comparison against the vector and keyword pipeline it augments [21]. That is enough to reason about the design. It is not enough to predict what it does to your p95 or your resolution rate.
