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๐ On average 2x faster than Lucene ๐ Full-text search โ๏ธ Configurable tokenizer (stemming available for 17 languages) ๐ Tiny startup time (<10ms) โจ๏ธ Natural and Phrase Queries ไทด Range Queries ๐ Incremental Indexing ๐จ Multi-threaded Indexing ๐ฉ JSON Fโฆ
By this I presume you mean build a search index that can retrieve results based on keywords? I know certain databases use Lucene to build a keyword-based index on top of unstructured blobs of data. Another alternative is to use Tantivy (<a href="https://github.com/quickwit-oss/tantivy">https://github.com/quickwit-oss/tantivy</a>), a Rust version of Lucene, if building search indices via Java isn't your cup of tea :) Both libraries offer multilingual support for keywords, I believe, so that's a benefit to vector search where multilingual embedding models are rather expensive.
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