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Introducing hybrid search: combining full-text and semantic search for optimal balance

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.

Maya Shin
Maya Shin04 Mar 2024
What are vector embeddings?

What are vector embeddings?

In machine learning and AI, vector embeddings are a way to represent complex data, such as words, sentences, or even images as points in a vector space, using vectors of real numbers.

What is a vector database?

What is a vector database?

Vector databases are specialized systems to store, manage, and query data in the form of vector embeddings. They are optimized for similarity search, which involves finding the most similar items to a given query vector.

Cloud monitoring metrics have arrived!

Cloud monitoring metrics have arrived!

Get an overview of your Meilisearch project's health and swiftly tackle any issue.

Meilisearch January Updates

Meilisearch January Updates

Your monthly dose of Meilisearch updates. Januar 2024 edition.

Laurent Cazanove
Laurent Cazanove24 Jan 2024
Meilisearch vs Typesense

Meilisearch vs Typesense

Comparing the key features between open-source search engines Meilisearch and Typesense.

Laurent Cazanove
Laurent Cazanove18 Jan 2024
Meilisearch v1.6

Meilisearch v1.6

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

Meilisearch December Updates

Meilisearch December Updates

Your monthly dose of Meilisearch updates. December 2023 edition.