Meilisearch latest news and company updates

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

How Meilisearch updates a database with millions of vector embeddings in under a minute
How we implemented incremental indexing in our vector store.

Full-text search vs vector search
A comparative analysis of full-text search, vector search, and hybrid search.

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 January Updates
Your monthly dose of Meilisearch updates. Januar 2024 edition.