Reading up on BM25
2 deep · digging since apr 29
- People that worked on the same idea for decades — Nitya's Notes
The article showcases long-term dedication, illustrating how Robertson's IR research over decades produced BM25 and Hokusai's forty-year journey to his iconic Great Wave.
- 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.