Comparing BM25 and Dense Retrieval for a Product Catalogue
A side-by-side evaluation of keyword search and embedding-based search on a realistic product dataset, showing where each approach wins and how hybrid search splits the difference.
In-depth articles on NLP topics.
Before you tune a search system you need a way to know whether your changes made things better or worse. This guide shows you how to build a hand-crafted relevance judgement set — a spreadsheet of queries, documents, and expected rankings — and how to use it as a repeatable baseline.
Read more →A side-by-side evaluation of keyword search and embedding-based search on a realistic product dataset, showing where each approach wins and how hybrid search splits the difference.