via “full-text search with typo tolerance and linguistic normalization”
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
Unique: Uses a hybrid radix tree + AVL tree architecture for term indexing combined with Levenshtein distance for typo tolerance, all compiled to <2kb core, whereas most full-text engines either sacrifice typo tolerance or require external services. Supports 12+ languages with built-in stemmers without external NLP dependencies.
vs others: Significantly smaller bundle footprint than Lunr.js or MiniSearch while offering better multilingual support and typo tolerance; runs entirely in-browser or edge without backend infrastructure unlike Elasticsearch or Algolia.