When model answers are correct but still feel incomplete

[jeffvpace]

Were you not in the discussion on RAG and Web Search?

Can retrieval-based grounding change AI recommendations if the core model is not continuously updated?

In a previous reply, it was mentioned that gaps in AI-generated recommendations often come from when, where, and with what data a model was trained — especially when training data is outdated or lacks regional and domain-specific coverage. That explanation makes sense. However, I’m curious about how much this gap can realistically change without retraining the core model. From an evaluation perspective: If a model’s internal knowledge remains a fixed snapshot, but we introduce retrieval-…