Use retrieval from the current database: Which design distinction is decisive?
Retrieval connects answers to changing policy data; freshness, evidence, and faithfulness checks remain necessary.
The question
A customer-service team answers questions about changing delivery fees and service areas. The policy database is updated daily, while the language model is updated quarterly. The company needs answers grounded in the current database and wants unsupported responses reduced. Which design distinction is decisive?
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- Use retrieval from the current database, with freshness and answer checks. ✓Retrieval supplies current external context, while freshness, evidence, and answer-faithfulness checks address remaining unsupported-output risk.
- Increase model size because larger models contain current fee information.Model scale does not ensure current proprietary policies or eliminate confident false content about changing fees and areas.
- Fine-tune quarterly because training updates preserve current policies.Quarterly fine-tuning changes learned behavior but cannot reliably provide daily policy facts or guarantee factual accuracy.
- Allow agents to update fees directly whenever customers report a discrepancy.Customer reports are unverified inputs, and direct updates would bypass authorization, validation, change control, and auditability.
The trap
For changing external information, prioritize authoritative retrieval and verification rather than periodic behavioral training. How to remember it
Retrieval connects answers to changing policy data; freshness, evidence, and faithfulness checks remain necessary.
How many of these would you get right?
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