[arccy]

This reply doesn't inspire confidence at all...

Made in Rust isn't a magic bullet to be production ready, and I'd be more concerned about logic bugs rather than CVEs.

1.0 is like the bare minimum to be used in production, but that doesn't necessarily mean it's been battle tested enough to be considered production ready.

[Kerollmops]

HuggingFace is using Meilisearch, in production, on their website for a year now.

[holysantamaria]

And it takes 360ms to get an answer from their server (not fulltext, quicksearch api endpoint). And 2ms to download the results on the network.

Is this the instant search that you are advertising on your website?

[Kerollmops]

V1.14, released yesterday [1], ships with a search embedding cache. Most of the time you see is spent waiting for an OpenAI embedding answer. We also just shipped composite embedders to reduce the network latency when you need to respond quickly to user searches (by running embedders on the Meilisearch server) but still use external APIs to index many documents in batches. Note that it can only work with open-source embedders, the ones HuggingFace serves.

[1]: https://github.com/meilisearch/meilisearch/releases/tag/v1.1...