Meilisearch Updates

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Help us explore search personalization

by Guillaume Mourier

We’re exploring how to bring search personalization to Meilisearch—and we’d love to learn from you. If you’re considering personalization, we’d be excited to hear about your needs and use case.

Meilisearch 1.15

by Carolina Ferreira

Meilisearch 1.15 introduces a new typo tolerance setting, comparison operators for string filters, and improved support for Chinese.

Meilisearch 1.14

by Carolina Ferreira

Meilisearch 1.14 introduces new experimental features, including composite embedders and an embedding cache to boost performance. It also adds core features such as granular filterable attributes and batch document retrieval by ID.

Meilisearch 1.13

by Carolina Ferreira

Meilisearch 1.13 stabilizes AI-powered search, introduces remote federated search—laying the groundwork for sharding—and makes version upgrades easier.

Meilisearch 1.12

by Carolina Ferreira

Meilisearch 1.12 brings significant indexing speed improvement and introduces new APIs disable prefix search and facet search, and retrieve task batches.

🇯🇵 New region available: Japan!

by Carolina Ferreira

We’re thrilled to announce that a new region—Japan—became available in January. You can now deploy your Meilisearch instances in the Japan region for faster performance and lower latency when serving users in East Asia.

New integrated search preview and revamped index settings

by Carolina Ferreira

We've added two helpful features to the Meilisearch dashboard: 🔍 Search preview Try out your search configuration directly in the dashboard: Test full-text search, filters, sorting, and hybrid search See how different settings affect

Referral Program

by Hassan Allakkis

We wanted to quickly remind you about our referral program that's currently running. There's still time to participate and earn valuable rewards! Quick Recap of What You Can Get: A FREE month of Meilisearch for every successful

Meilisearch 1.11

by Carolina Ferreira

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. y based on user feedback.

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