Tutorials, product updates, and insights from the Meilisearch team
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.
Meilisearch Q4 release includes faster search, more control over settings in UI and a new region.
Your monthly recap of everything Meilisearch. October 2024 edition.
With Meilisearch, Tutkit.com scaled its learning platform to handle search across 15,000+ resources in 26 languages.
Meilisearch 1.11 advances AI-powered search toward stabilization with key improvements, including binary quantization. This release also enhances federated search functionality based on user feedback.
Meilisearch powers search for Bildhistoria's quickly growing database of historical photographs and affiliated data.
Your monthly recap of everything Meilisearch. September 2024 edition.
Discover how easy it can be to implement advanced multilingual search and give your users the seamless, relevant results they deserve, regardless of language.
Build a React movie search and recommendation app with Meilisearch's AI-powered search.
Your monthly recap of everything Meilisearch. August 2024 edition.
Meilisearch 1.10 introduces federated search and locale settings, and paves the way for AI-powered search stabilization.
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.
