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Perplexity agents using grep beat semantic search on financial questions

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Perplexity says its agents search real sandbox checkouts with grep and standard file tools instead of broad semantic searches. On an internal benchmark of 150 financial-document questions, this approach reached 0.627 answer accuracy versus about 0.37 for semantic search.

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Because each sandbox holds a real checkout, agents search it with grep and standard file tools instead of relying on broad semantic searches.

On an internal benchmark of 150 financial-document questions, this reached 0.627 answer accuracy versus about 0.37 for semantic search.

Source: Perplexity · x.comPublished · added here