Practical guides on search engineering, ranking algorithms, and building search experiences that work.
A practical comparison of BM25 and TF-IDF ranking algorithms. Learn why BM25's saturation curve and document length normalization produce more relevant results.
Step-by-step guide to integrating LumoSearch into a Next.js application. From indexing your data to building a search UI with autocomplete.
An explanation of the most common fuzzy matching approaches — Levenshtein distance, trigram similarity, and phonetic matching — with benchmarks.