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Perplexity says grep over real checkouts beats semantic search on financial questions

1 article1 sourcesince Oct 12Last article 1h ago ·

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Perplexity says its agents answer financial-document questions more accurately when they search sandboxed copies of real checkouts with grep and standard file tools than when they rely on broad semantic search.

On an internal benchmark of 150 financial-document questions, Perplexity reports 0.627 answer accuracy for the grep approach versus about 0.37 for semantic search. The company attributes the approach to each sandbox holding a real checkout. The results come from Perplexity's own internal benchmark and have not been independently verified.

Written by AI from the articles below · updated Oct 12, 2:12 PM ET

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Oct 12
  1. PerplexityOfficial
    Perplexity agents using grep beat semantic search on financial questions

    AIPerplexity 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.

    Image from @perplexity_ai's post

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