The correct choice is Uses Retrieval Augmented Generation to pull the latest catalog and policy content and ground the answer in that context. This capability ensures Amazon Q Business can fetch and use the most recent catalog and policy data that sync from internal systems so answers remain accurate and relevant.

Retrieval augmented generation combines a retrieval step that pulls authoritative documents from your enterprise sources with a generation step that composes responses grounded in those documents. In Amazon Q Business the retrieval step indexes the catalog and policy content and the generator uses that indexed context to produce precise answers that reflect changes made every 45 minutes.

Generates responses only from the model's general training data without checking company-specific sources is incorrect because a pretrained model alone cannot guarantee current or organization specific facts and it will not reflect recent catalog or policy updates.

Delivers replies from a static, rule-driven knowledge base that is not updated in real time is incorrect since a static knowledge base does not adapt to frequent catalog or policy changes and cannot ground answers in newly updated enterprise data.

Enforces guardrails and content filters to block unsafe topics instead of retrieving fresh business data is incorrect because guardrails help with safety and compliance but they do not perform retrieval or add up to date factual content to responses.

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