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Meilisearch 1.11

What is federated search?

Meilisearch 1.10

How to quickly add search to your Rails app with Meilisearch

Meilisearch 1.9

Delivering results at keystroke speed: inside a full-text search engine

A comparative analysis on full-text, vector, and hybrid search

Meilisearch 1.8

Meilisearch April Updates

When does Postgres stop being good enough for full text search?

How Meilisearch updates a database with millions of vector embeddings in under a minute

Full-text search vs vector search

Meilisearch 1.7

What Is a Vector Database?

Squeezing millions of documents in 128 TB of virtual memory

Vector embeddings & the semantic space explained

Are you indexing the smart way?

Meilisearch 1.6 - AI search & up 50% faster indexing

Meilisearch January Updates

When does Postgres stop being good enough for full text search?

Meilisearch November Updates

Meilisearch releases v1.5 - faster indexing, on-demand snapshots, & Puffin reports

Meilisearch v1.4 introduces custom text separators and user-defined dictionary

Meilisearch August updates

Meilisearch v1.3 introduces vector search, ranking score details, search for facet values, and searchable fields at query time

Designing a scoring feature for a search engine's relevancy system: challenges and solutions

A practical guide to understanding bucket sort

🚀 New release from Meilisearch: enhancing semantic search for images, videos, audio, and more!

How to optimize the indexing process

Vector storage is coming to Meilisearch to bring fast, relevant search to AI-powered apps

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