How personalization and recommendations enhance search and discovery
Learn to boost search efficiency with personalization and recommendation strategies with case studies and tips.
Laurent Cazanove
Tutorials, product updates, and insights from the Meilisearch team
Learn to boost search efficiency with personalization and recommendation strategies with case studies and tips.
Your monthly recap of everything Meilisearch. December 2024 edition.
Meilisearch 1.12 brings significant indexing speed improvement and introduces new APIs disable prefix search and facet search, and retrieve task batches.
![Fuzzy search: a comprehensive guide to implementation [2026]](/_next/image?url=https%3A%2F%2Fres.cloudinary.com%2Fmeilisearch%2Fimage%2Fupload%2Fv1766418783%2Fblog%2Fcovers%2Ffuzzy-search-feature.avif&w=3840&q=75)
Learn how to implement fuzzy search in 2026 to handle typos and misspellings, with practical code examples and best practices for better UX.
Your monthly recap of everything Meilisearch. November 2024 edition.
Learn how to implement predictive search in your software applications. Discover key concepts, optimization techniques, and real-world examples.
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.