Reading up on Amazon ESCI
1 deep · digging since apr 29
- Can agents replace the search stack?
Using a basic BM25 or e5 retriever with an LLM agent can achieve 0.289→0.453 NDCG on Amazon ESCI by reasoning over queries, but this approach fails on passage retrieval where the embedding model already knows best.