
Horizontal scaling with sharding
Meilisearch 1.19 EE introduces experimental sharding support to enable horizontal scaling.


Meilisearch 1.19 EE introduces experimental sharding support to enable horizontal scaling.


By implementing binary quantization with the vector store Arroy, significant reductions in disk space usage and indexing time for large embeddings have been achieved while maintaining search relevance and efficiency.


Build a React movie search and recommendation app with Meilisearch's AI-powered search.


In this blog post, we explore the enhancements needed for Meilisearch's document indexer. We'll discuss the current indexing engine, its drawbacks, and new techniques to optimize performance.


Learn to build a Shopify storefront with Next.js and the Blazity commerce starter.


Meilisearch 1.8 brings negative keyword search, improvements in search robustness and AI search, including new embedders.


Meilisearch 1.7 stabilizes ranking score details, adds GPU support for Hugging Face embeddings, and integrates the latest OpenAI embedding models.


Everything you need to know to build full-text search with Laravel 10.


We’re introducing team management to improve collaboration on Meilisearch Cloud.


Learn how to structure data and use Meilisearch to enhance search experience, enabling seamless navigation through nested hierarchical facets from general to specific categories.


Learn how to display facet names in the UI with InstantSearch while refining facets by their unique identifiers.


Assign weights to your filters and prioritize documents based on how well they match your criteria.


Introducing Documentation Crawler to help users integrate search functionality into their documentation


Introducing Tasks View to offer a comprehensive view of Meilisearch's asynchronous operations.


Learn how to implement promoted search results with Meilisearch using a second index for pinned documents.



Learn how to display promoted results with React InstantSearch Hooks and Meilisearch.


Get a quick grasp of the best practices for fast and efficient data indexing with our short guide.


We're thrilled to release vector storage for Meilisearch to bring fast, relevant search to AI-powered applications.


Learn how to implement Role-Based Access Control (RBAC) in your applications using Meilisearch.


Federated search boosts user experience and result relevancy by searching across multiple indexes.


Looking to add site search to your Vue ecommerce? Learn how to integrate real time sorting, filtering, and faceted search in this complete guide for Nuxt.


Does adding your documents to Meilisearch take too long? Learn what you can do to speed up the indexing process.


Updating a Meilisearch instance deployed on a cloud platform can be intimidating. Let us guide you through the process.


Suppose you have changes in your database that you need to synchronize with your Meilisearch index in production. What do you do?


Learn how to easily create a search-based web app with instant and reliable results thanks to the power of Meilisearch and React.


Learn how you can refine the relevancy of your search results by customizing Meilisearch’s matching strategy.


Integrate Meilisearch with your Rails app database and create a search-as-you-type experience using React.


This tutorial teaches how to easily create a search interface with the Meilisearch extension for Firebase. This extension enables you to run full-text searches in your Cloud Firestore documents.


Nobody likes a "no results found" page. Learn how to avoid returning too few or too many search results on your app.


A step-by-step guide to create a powerful search-based web app: from setting up Strapi back-end to connecting it with Meilisearch.


In this tutorial, you'll learn how to benefit from the tenant token feature provided by Meilisearch. We will use the Meilisearch Javascript SDK to create an application that will use tenant tokens to restrict access to data based on different user names.


This guide will go through all the steps for adding the content of your Gatsby app to Meilisearch


Learn how to use search-time sorting in Meilisearch v0.22 to let users sort results by price, date, or any numeric attribute.


Search through your Strapi collections using MeiliSearch with this (almost) code-less tutorial


Learn how to save and search your Slack message history for free using Airbyte and Meilisearch, even on Slack's free plan.

Building a searchable demo of the Museum of Modern Art collection using Meilisearch, Vue InstantSearch, and the MoMA dataset.


Running MeiliSearch on your own machine for your weekend project is fun, let's agree on that. However, you may want to go live and deploy a project in production, to take it to the next level.


How we built a search-as-you-type experience for RubyGems using Meilisearch, with typo tolerance and better relevancy.


Demo of the Meili instant search engine that exposes packages from crates.io.
