TLDR Tech / Data
Can Agents Replace the Search Stack?
A lightweight LLM agent, given basic retrieval tools (BM25 and/or embeddings), can outperform complex search backends and reranking pipelines, simplifying the search architecture. In experiments on Amazon ESCI data, agentic setups delivered big gains (NDCG from ~0.29 baseline to 0.41-0.45), with agents intelligently rewriting queries, exploring, and evaluating results.
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