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Is Google or Exa better for RLing agents?

Comparison of Exa versus Google (SERP) as search backends during reinforcement learning (RL) training. Results show that agents trained with Exa reach higher performance with less training compute. Experiments on multi-hop QA datasets using Qwen3-4B model with LoRA and Dr. GRPO algorithm.

SourceHacker News AIAuthor: willbryk
Is Google or Exa better for RLing agents?
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Key points

  • Exa as search backend outperforms Google (SERP) in RL training, achieving higher performance with less compute.
  • Experiment uses Qwen3-4B model with LoRA adapters and Dr. GRPO algorithm.
  • On MuSiQue and HotpotQA multi-hop QA datasets, Exa agents perform better on tasks requiring cross-page information synthesis.
  • Exa's own search engine and web index enable large-scale study of search backend interactions with RL.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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