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Google SERP APIs lead LLM search accuracy test, but are slower

By PulseAugur Editorial · [1 sources] ·

A recent test evaluated several search APIs for their ability to provide LLMs with up-to-date information on recent events. The two Google SERP APIs performed best, achieving over 88% accuracy, with Brave following closely. However, the Google APIs were significantly slower, taking around 8 seconds per search compared to Exa's 0.74 seconds. The study also highlighted the substantial impact of Google's AI Overview feature on accuracy, as removing it led to a significant drop in correct answers. AI

IMPACT This research indicates that for LLMs needing up-to-date information, Google's SERP APIs offer the highest accuracy, though at the cost of speed, potentially influencing choices in LLM integration.

RANK_REASON The item describes the results of a test comparing the accuracy and speed of different search APIs for LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google SERP APIs lead LLM search accuracy test, but are slower

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40 / 100
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Tool
The item describes the results of a test comparing the accuracy and speed of different search APIs for LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Ricardo Batista ·

    Which search API gives an LLM the most up-to-date answers about recent events?

    <p>On 358 questions whose answers change over time, the two Google SERP APIs in the test gave an LLM the most correct answers: 88.5% and 88.3%. Brave followed at 84.9%, then Exa (83.0%), Parallel (82.7%) and Tavily (81.8%). Each API got one search per question, and one model answ…

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