In the case of AI Overviews recommending a pizza recipe that contains glue—drawing from a joke post from Reddit—it’s likely that the post appeared relevant to the user’s original query about cheese not sticking to pizza, but that something went wrong in the retrieval process, says Shah. “Just because it’s relevant doesn’t mean it’s right, and the generation part of the process doesn’t question that,” he says. Similarly, if a RAG system comes across conflicting information, like a policy handbook, and an updated version of the same handbook, it’s unable to work out which version to draw its response from. Instead, it may combine information from both to create a potentially misleading answe
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