Introducing hybrid search on Meilisearch Cloud 🚀 https://buff.ly/4a5aIgz
Meilisearch
Développement de logiciels
Paris, Ile-de-France 2 761 abonnés
Ultra relevant, instant and typo-tolerant full-text search API https://github.com/meilisearch/meilisearch
À propos
Meilisearch is a RESTfull search API that is the ready-to-go solution for everyone wanting a powerful, fast, and relevant search experience for their end-users ⚡️🔎 Efficient search engines are often only accessible to companies with the financial means and resources necessary to develop a search solution adapted to their needs. The majority of other companies that do not have the means or do not realize that the lack of relevance of a search greatly impacts the pleasure of navigation on their application, end up with poor solutions that are more frustrating than effective, for both the developer and the user. That's why we created MeiliSearch, an open-source solution accessible to everyone, meeting the vast majority of needs, even specific ones. Installable very easily with little or no configuration required but with a high capacity for customization. Our solution is instant; it accepts typos; it understands filters, custom rankings, and a lot of other features.
- Site web
-
https://www.meilisearch.com
Lien externe pour Meilisearch
- Secteur
- Développement de logiciels
- Taille de l’entreprise
- 11-50 employés
- Siège social
- Paris, Ile-de-France
- Type
- Partenariat
Lieux
-
Principal
Obtenir l’itinéraire
75001 Paris, Ile-de-France, FR
Employés chez Meilisearch
Nouvelles
-
Just reached 45,000 GitHub stars! Thanks for the support 🫶 https://lnkd.in/eD67PQxF
-
-
Announcing Meilisearch 1.9 🦎 ◆ Grouping by attribute ◆ Similar documents API ◆ Ranking score threshold Read the release notes: https://lnkd.in/dw5aMQn9
Meilisearch 1.9
blog.meilisearch.com
-
🚨 Our webinar starts in 1 hour Join our product team to discuss AI search, query suggestions, and future releases:
Welcome! You are invited to join a meeting: What's new in Meilisearch: v1.8, AI search updates: open source embedders, and more!. After registering, you will receive a confirmation email about joining the meeting.
us06web.zoom.us
-
Join our product development team tomorrow for a live discussion on what's new, a Q&A session, and our roadmap! 👇
There’s still time to secure your spot at our live event tomorrow! We'll be showing off the latest updates to Meilisearch and discussing the roadmap. Whether you're a current user or simply curious, we welcome you to join us and see how these updates can make your search smarter. See you there! https://lnkd.in/d869wkFt
Welcome! You are invited to join a meeting: What's new in Meilisearch: v1.8, AI search updates: open source embedders, and more!. After registering, you will receive a confirmation email about joining the meeting.
us06web.zoom.us
-
Full-text vs. vector search Learn the pros and cons of each solution and our approach to hybrid search https://lnkd.in/dUN5HMQt
Full-text search vs vector search
blog.meilisearch.com
-
Meilisearch a republié ceci
I’m stoked to announce that our next live product event will be held this June 11th. Join us to discuss Meilisearch latest releases and upcoming features: • AI, hybrid search & embedders • Query suggestions • What's coming in v1.9 We will also host a Q&A session, so come with your questions (& feedback 👀) Save your spot! https://lnkd.in/dj5gDauQ
Welcome! You are invited to join a meeting: What's new in Meilisearch: v1.8, AI search updates: open source embedders, and more!. After registering, you will receive a confirmation email about joining the meeting.
us06web.zoom.us
-
🎓 Vector databases 101
What is a vector database?
blog.meilisearch.com
-
🔔 Meilisearch 1.8 just dropped! It's time to upgrade:
Meilisearch 1.8
blog.meilisearch.com
-
Meilisearch a republié ceci
How did we implement a search that reads users' minds? When you create a search feature for your modern website, you might be tempted to simply search through your database using the words your users type in. This can work for some sites, but it's not the best choice for eCommerce websites or blogs. Why? - You want people to find what they need quickly, without getting frustrated by the search. - You want the search to understand what users mean, even if they use different words than you did in your product descriptions. All of this can be resolved with Vector Search! In Enterprise Commerce, we used Meilisearch to power our advanced search and also to make the search smarter. Vector Search uses ML to figure out what users are really looking for. It's almost like reading their minds! As a bonus, it also integrates easily with #vercel and #nextjs!