ndx

Designed for scenarios where documents are dynamically added or removed, using a trie-based inverted index that handles updates without full reindexing, as highlighted in the README for IndexedDB use cases.

Implements the BM25 ranking function to score documents based on term frequency and document length, providing high-quality relevance results compared to simpler methods.

Supports indexing multiple fields with per-field boost factors, allowing developers to fine-tune search relevance, as shown in the example with fieldBoostFactors arrays.

Focuses on core functionality without bloat, making it easy to integrate for specific use cases like client-side search, with a minimal API as demonstrated in the code snippets.