qdequelen

Joined 7 years ago

Karma
271
Submissions
51
Member since
Dec 8
Co-Founder & CEO @meilisearch. Ex student at @42born2code.
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Recent submissions

Comment · 2 years ago
Comment · 2 years ago
> Are LLM tools better or worse than e.g. meilisearch or elasticsearch for searching with snippets over a set of document resources?

Absolutely worse, LLM are not made for it at all.

Comment · 2 years ago
Thanks for the highlight!
Comment · 2 years ago
Do you handle high throughput volumes? I would need this for testing to host a database service at scale.
Comment · 2 years ago
Did you only get the schema.json?
Comment · 2 years ago
Hey, I'm the CEO of Meilisearch. If your issue is performance, I would love to give you a try with Meilisearch. You'll be able to create an "as you type" experience with our engine that responds in less than 50ms!
Comment · 3 years ago
Thanks @CaroFG, I'm sure that if anyone has questions, the engineering team would love to answer!
Comment · 3 years ago
Hello, I'm the Meilisearch CEO. I think you're also correct, Jabo.

I just want to clarify. Meilisearch's pricing doesn't start at 1.2K/month, but at 0/month. We have a usage-based pricing that is basically 0.25/1000 documents and searches. And, funny thing, we are thinking about splitting the searches and documents, too, but we wanted to have more data to be sure to select the right unit price for each. :)

Comment · 3 years ago
Make the web faster with Rust.
Comment · 3 years ago
Hey muhammadusman, I'm the Meilisearch's CEO. We have a complete comparison table. Note that it represents our point of view. https://docs.meilisearch.com/learn/what_is_meilisearch/compa...

Both Meilisearch and Typesense are really different regarding resource consumption and performance. I would say that where Typesense would have a better indexing performance (Meilisearch has recently improved indexation speed), Meilisearch will guarantee a much faster search performance while keeping impressive relevancy. Regarding the consumption, as Typesense is entirely on RAM and Meilisearch is using memory mapping, Meilisearch would take more disk space but less RAM.

Comment · 3 years ago
To answer your question precisely, we handle all the space-separated languages and have specific tokenizers for Chinese, Japanese, Korean, Thai, and Hebrew. We plan to add more languages in the future.
Comment · 3 years ago
Thanks for your feedback!
Comment · 3 years ago
You should try it again since we intensively improved the indexation performances. Most of our actual users no longer have performance problems, even on hundreds of millions of documents.
Comment · 3 years ago
Yes, it's planned!

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