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Google SERP API leads in LLM grounding accuracy, but Exa and Tavily offer faster alternatives

By PulseAugur Editorial · [1 sources] ·

For grounding LLM answers with citations, a Google SERP API with AI Overviews is recommended for accuracy, correctly answering 86% to 99% of benchmark questions. However, these APIs are slower, taking around 8 seconds per query. If speed is critical or the model needs to quote directly from pages, Exa, Tavily, or Perplexity's Sonar API are better choices, with Exa offering the fastest median search time of 0.74 seconds. These alternatives also provide page text or excerpts in a single call, unlike Google's API which requires separate fetching. AI

IMPACT Provides guidance on selecting search APIs for LLM grounding, impacting developers building AI applications that require cited answers.

RANK_REASON The item discusses tools and APIs for grounding LLM answers, comparing their features and performance.

Read on dev.to — LLM tag →

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

Google SERP API leads in LLM grounding accuracy, but Exa and Tavily offer faster alternatives

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46 / 100
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The item discusses tools and APIs for grounding LLM answers, comparing their features and performance.
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product, infra
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High
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COVERAGE [1]

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

    Which search API should I use to ground LLM answers with citations?

    <p>To ground LLM answers with citations, use a search API that returns text the model can answer from and a URL for each part of that text. For the most correct answers, use a Google SERP API with the AI Overview: on 100 benchmark questions, the AI Overview took grounded answers …

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