See what full-text search is, the benefits, the different types, and many use cases. Discover how these search engines actually work.

Carolina Ferreira24 Apr 2025

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.

Carolina Ferreira14 Apr 2025

Discover what you need to know about vector embeddings. See what they are, the different types, how to create them, applications, and more.

Carolina Ferreira20 Mar 2025

Discover what you need to know about vector databases. See what they are, how they work, their benefits, examples, use cases, and more.

Carolina Ferreira18 Mar 2025

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

Carolina Ferreira18 Feb 2025

Discover best practices for building a RAG system, with tips on optimizing documents, integrating AI, and why effective retrieval is key to success.

Carolina Ferreira29 Jan 2025

Your monthly recap of everything Meilisearch. October 2024 edition.

Carolina Ferreira07 Nov 2024

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.

Carolina Ferreira29 Oct 2024

Your monthly recap of everything Meilisearch. September 2024 edition.

Carolina Ferreira30 Sept 2024