All articles by Carolina Ferreira
Meilisearch October updates
Your monthly recap of everything Meilisearch. October 2024 edition.
Meilisearch 1.11
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.
Meilisearch September Updates
Your monthly recap of everything Meilisearch. September 2024 edition.
How to add AI-powered search to a React app
Build a React movie search and recommendation app with Meilisearch's AI-powered search.
Meilisearch vs Algolia
A comparison between the key features of Meilisearch and Algolia.
Meilisearch 1.8
Meilisearch 1.8 brings negative keyword search, improvements in search robustness and AI search, including new embedders.
Meilisearch March Updates
Your monthly dose of Meilisearch updates. March 2024 edition.
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?
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.