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Picking the right search solution for a project is essential yet hard. Understanding their differences is crucial for making a choice.
I looked around the documentation and it looks really nice, bonus points for being a native application. Unfortunately it cannot replace Elasticsearch for our use cases because it doesn't seem to support aggregations yet. Are they planned?

https://www.elastic.co/guide/en/elasticsearch/reference/curr...

Hey @jiripospisil,

Indeed Meilisearch does not offer an aggregation feature yet although it will be possible to get stats for the `min` and `max` values of a faceted field in the next version (v1.1)

Please tell us more about what you mean by aggregation and why it is critical for your use-case by creating a discussion on Github here (https://github.com/meilisearch/product/discussions) or by proposing a new idea on our public portal here (https://roadmap.meilisearch.com) if you don't have a Github account.

Thank you!

> 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.

[1]: https://nist.gov