winkjs/wink-bm25-text-search
Fast Full Text Search based on BM25
# Technical Summary Builds an in-memory search index from JSON documents with configurable field weights and tunable BM25 parameters (k1, b, k), enabling relevance ranking optimization. Integrates with wink-nlp for advanced text processing including stemming, lemmatization, negation detection, and stop-word filtering—allowing users to define separate preprocessing pipelines per field. Runs in both Node.js and browser environments with a compact index optimized for minimal memory footprint.
70 stars and 70,477 monthly downloads. Used by 2 other packages. No commits in the last 6 months. Available on npm.
Stars
70
Forks
17
Language
JavaScript
License
MIT
Category
Last pushed
Nov 21, 2022
Monthly downloads
70,477
Commits (30d)
0
Dependencies
4
Reverse dependents
2
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