Nope, it doesn't. It's based on Cascade Ranking, also called [bucket sorting][1]. We released our new Hybrid search ranking system, combining the best full-text search results (our Cascade Ranking) with semantic results (with arroy, our full-Rust Vector Store). You can try that at https://wheretowatch.meilisearch.com.
Check out Manticore Search for your use case. It's open-source, cost-effective, and doesn't require keeping everything in memory.
Key points:
- Columnar Storage: Efficiently handles large datasets on disk, ideal for terabyte-scale data. It's not enabled by default but can be set up easily with "CREATE TABLE ... ENGINE='columnar'".
- Faceted Search: Probably easier than anywhere else with just "FACET <field name>" added to your "SELECT" query.
- MySQL Protocol and SQL Support: If you’re familiar with SQL and MySQL, it's easier to get started compared to other search engines.
MySQL's full-text ranking capabilities are quite limited and AFAIK full-text wasn't a priority for them lately. The related article is "Rankings with InnoDB Full-Text Search" [1]
If it works for you - great. If you need more flexibility in terms of data tokenization, matching and ranking you can consider Manticore Search [1] instead of Elasticsearch since it's a continuation (a fork made in 2017) of the Sphinx search engine mentioned in the article on mysql.com and has a better integration with MySQL than Elasticsearch (e.g. you can use Linux mysql client or any programming language mysql connector to make queries to Manticore).
> I decided to experiment with this setup and the NY Taxi Dataset. The initial goal was to populate ElasticSearch with ~14 million rows, loading data from a compressed parquet file of ~350 MB.
> I tried multiple times, but the operation failed continuously, due to JVM memory constraints
> Meilisearch focuses on simplicity, relevancy, and performance.
> excellent relevance out of the box
> if ease of use, performance, and relevancy are important to you, Meilisearch was made for you
Is there a benchmark that shows Meilisearch outperforming Elasticsearch in terms of relevance score? I couldn't find Meilisearch listed on https://github.com/beir-cellar/beir.
We are not in contact with beir or the owner of the bei-cellar oganisation.
However, we started tracking our relevancy with the TREC 4 & TREC 5 data which are provided by the NIST organisation [1]. I can only tell that the results are very good and that we continue to improve that. We will talk about that in a blog post.
