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Finding the right answer fast, at any scale
Search is a deceptively complex problem — users expect instant, relevant results across massive datasets. This category covers inverted indexes, relevance ranking, full-text search, fuzzy matching, faceted search, vector similarity search, and the architectures behind search engines like Elasticsearch and Typesense. Building good search is part engineering, part information retrieval science.
Search Relevance — TF-IDF & BM25
Ranking algorithms that score documents by how relevant they are to a query — TF-IDF and BM25 balance term frequency against document length to surface the best matches.
2mo ago
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Elasticsearch PHP 5.0+ A distributed full-text search engine — inverted indexes enable sub-second keyword and relevance-ranked search across millions of documents.
2mo ago
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