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Meilisearch – search engine API bringing AI-powered hybrid search

(github.com)
151 points modinfo | 1 comments | 14 Apr 25 12:46 UTC | HN request time: 0.205s | source
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adeptima ◴[14 Apr 25 14:56 UTC] No.43682013[source]▶
Meilisearch is great, used it for a quick demo

However if you need a full-text search similar to Apache Lucene, my go-to options are based on Tantivy

Tantivy https://github.com/quickwit-oss/tantivy

Asian language, BM25 scoring, Natural query language, JSON fields indexing support are all must-have features for me

Quickwit - https://github.com/quickwit-oss/quickwit - https://quickwit.io/docs/get-started/quickstart

ParadeDB - https://github.com/paradedb/paradedb

I'm still looking for a systematic approach to make a hybrid search (combined full-text with embedding vectors).

Any thoughts on up-to-date hybrid search experience are greatly appreciated

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1. Epicism ◴[16 Apr 25 12:36 UTC] No.43704628[source]▶
Try LanceDB https://github.com/lancedb/lancedb

It’s based off of the data fusion engine, has vector indexing and BM 25 indexing, has pipes on and rust bindings