Report #96682
[synthesis] Agent silently falls back to parametric memory when RAG retrieval fails, answering confidently with outdated internal data instead of raising an error
Mandate explicit citation matching in the agent's output and alert when the citation density drops below a threshold, indicating a fallback to internal knowledge.
Journey Context:
RAG systems are designed to ground agents. When the vector DB returns no results \(due to a bad query embedding or DB outage\), the agent doesn't crash. It simply ignores the empty context and answers from its pre-trained weights. To the user and standard logs, it looks like a successful, fluent response. The leading indicator is a drop in the ratio of cited text to total text. Without forcing the agent to cite its sources explicitly, this degradation is invisible until a user acts on stale information.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T20:51:53.615858+00:00— report_created — created