Meilisearch latest news and company updates

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

Introducing hybrid search: combining full-text and semantic search for optimal balance
Meilisearch's AI journey began last summer with vector search and storage. Today, we unveil hybrid search with autogenerated embedders, advancing our AI capabilities.

Cloud monitoring metrics have arrived!
Get an overview of your Meilisearch project's health and swiftly tackle any issue.

Meilisearch v1.6
Meilisearch 1.6 brings hybrid search and significant advancements in indexing speed.

Meilisearch v1.5
Meilisearch 1.5 brings indexing speed improvements, on-demand snapshots, and Puffin reports exports.

Search analytics have arrived!
Get immediate actionable insight to optimize your search - all in one interactive dashboard.

What's new in v1.4?
Meilisearch v1.4 introduces the ability to configure custom text separators and user-defined dictionaries.

What’s new in v1.3?
v1.3 introduces many exciting features, including vector search, ranking score details, search for facet values, and searchable fields at query time.

What's new in v1.2?
Meilisearch 1.2 release brings new powers to filters and engine improvements across the board.