State of search Meilisearch vs Algolia A comparison between the key features of Meilisearch and Algolia.
Release Meilisearch 1.8 Meilisearch 1.8 brings negative keyword search, improvements in search robustness and AI search, including new embedders.
State of search 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.
State of search 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.
Release Cloud monitoring metrics have arrived! Get an overview of your Meilisearch project's health and swiftly tackle any issue.
Release Meilisearch v1.6 Meilisearch 1.6 brings hybrid search and significant advancements in indexing speed.
Company news Meilisearch December Updates Your monthly dose of Meilisearch updates. December 2023 edition.
Company news Meilisearch October updates Your monthly dose of Meilisearch updates. October 2023 edition.
Using Meilisearch Guide to hierarchical faceted search Learn how to structure data and use Meilisearch to enhance search experience, enabling seamless navigation through nested hierarchical facets from general to specific categories.
