Many the fish

#rustlang developer at @meilisearch.

[Quentin de Quelen @Quentin_dQ]

Launch Week starts NOW 🚀

Day 1: Meilisearch Chat – a chat interface powered by Meilisearch.

Chat with your data. Search with context. ⚡️

More drops coming every day 👀

Subscribe to follow along → https://t.co/oJtip1qtJ3

[Many the fish @ManyTheFish]

I tipped something like "attack from the north in middle age" and Meilisearch found several Viking themed movies. 🥰

It’s a funny feature for this use case, but it is really promising when searching in blog articles or documentation.

[kero @Kerollmops]

May I present the Where2Watch Noticeable Queries to you? This small page lists the funniest queries we crafted to find known movies with the new Hybrid Search @meilisearch feature 🎥👀 Tell me if you find other fun queries, and I'll add them to this page. https://t.co/DsuQ1SL6gw

[Meilisearch @meilisearch]

Our live showcase of Meilisearch's latest product updates starts in an hour! ⏱️
We have an exciting roaster of Meilisearch experts, and the agenda is super-packed. Get ready for a demo, and bring your questions for a live discussion!

🔗 Don't miss out! https://t.co/JQnrwUTDj6

[Meilisearch @meilisearch]

📰 The Meilisearch monthly updates are out!

Read the February recap:

https://t.co/qqMZZKce7e

[Meilisearch @meilisearch]

🐳 Self-host Meilisearch with @Docker

https://t.co/a7v84EdgA2

[Meilisearch @meilisearch]

🚀 Introducing Meilisearch v1.6

• AI search
• 2x faster indexing
• Reduced disk space usage

https://t.co/knKHnWR85j

[Laurent @StriftCodes]

Huge props to @ManyTheFish, @kerollmops, and @lodurel for this PR 👏

The indexing speed improvements are unlocking new potential for apps built with @meilisearch. We can’t wait to see what you will ship!

Try Meilisearch 1.6 today:
https://t.co/pWhuw9OK6R

[Laurent @StriftCodes]

Meilisearch 1.6 indexes documents 2x faster ⚡

Let’s see what this performance boost unlocks for our users.

🧵

[Meilisearch @meilisearch]

Our lead developer @Kerollmops reveals how we enhanced ANN performance with @rustlang, surpassing @Spotify's Annoy!
https://t.co/hMMu9wKPnR

[kero @Kerollmops]

You all asked for it! I just released the second part of my blog series on Arroy: #DiskANN-inspired library. https://t.co/LoqqcPbF64

[Many the fish @ManyTheFish]

I've been working hard on improving the performance of @meilisearch 1.6.0. 🔧
Seeing the graph, I should have used a logarithmic scale before sending it to @kero 🤓

[kero @Kerollmops]

Something big is coming @meilisearch 🚀

[Minoru OSUKA @minoru_osuka]

Qiita (@Qiita) の Stanby (@Stanby_inc) Advent Calendar に、今年個人的に最も貢献できた（と思ってる） OSS プロジェクト Meilisearch (@meilisearch) について紹介しますー。
サクッと使える検索エンジンを探している人はぜひ使ってみてくださいー。

https://t.co/JfHoOLP5Z7

[@miiton @MIITON]

日本語強制版 Meilisearch v1.5.0 ( prototype-japanese-8 )
あざます！
https://t.co/fuTpYjO70K

[kero @Kerollmops]

Today, I want to discuss the beginning of our journey in building our homemade #DiskANN data structure. We were highly inspired by the @SpotifyEng work. We made it safer, much faster and added a bunch of features to it. https://t.co/7f1UBKN9i5

[kero @Kerollmops]

What if I tell you that Meilisearch is about to ship with a homemade #DiskANN vector store? Spotify/Annoy highly inspired our new library. Arroy allows you to do Approximate Nearest Neighbors search in hundreds of millions of vectors.

[Laurent @StriftCodes]

We just published a guide to @laravelphp full-text search 🔍

Learn to use Laravel Scout with Meilisearch to build fast & relevant search:

https://t.co/ead1D8Dmio

[Many the fish @ManyTheFish]

👀

[Laurent @StriftCodes]

Indeed, we've got more coming for other use cases. 😉

This is just the first of a series of improvements to indexing speed. I don't want to spoil it, but future releases should bring interesting things too 🤫

Give @StriftCodes or @meilisearch a follow to stay in the loop. 🚀

[Laurent @StriftCodes]

We just merged a PR in @meilisearch to improve indexing speed by up to 25% ⚡️

Here's how @ManyTheFish and @clurquizar achieved this.

🧵

[Many the fish @ManyTheFish]

@MIITON Hello @MIITON, the docker image prototype-japanese-6 is up to date with v1.4.1,
sorry again for the delay,
I’ll try to be faster next time ! ☺️

[kero @Kerollmops]

Last week @meilisearch, we did an internal hackathon and worked on some proofs of concepts that we will soon release! I specifically worked on one called Settings Guessr. This tool can guess the settings of a dataset based on a portion of it.