In Gulf enterprise deployments, Arabic RAG can fail in a deceptively ordinary way: it retrieves too much text that is almost useful. Modern Standard Arabic, local terminology, translated contracts, repeated policy clauses, and boilerplate can look similar while carrying different legal or operational consequences.
The bottleneck is context assembly. A top-k list of similar passages is not a theory of evidence. The system must decide which passage is authoritative, whether two clauses conflict, whether a translation changed meaning, and whether the answer depends on a date, jurisdiction, or exception.
For Arabic systems, token economy is epistemic as well as financial. The more redundant context the agent receives, the more it must reconcile. Stronger retrieval aims for minimum-token, maximum-evidence context: fewer passages, clearer provenance, and explicit treatment of ambiguity.