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.
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?
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...