Meilisearch April updates
Your monthly recap of everything Meilisearch. April 2025 edition.
Hey, here's a recap of everything that happened at Meilisearch during April.
🚀 Meilisearch 1.14
Meilisearch 1.14 improves AI search with composite embedders and embedding cache. It also adds granular filterable attributes and batch document retrieval by ID.
📰 In the news
🔢 Why you shouldn't use a vector database for RAG
The contrarian take on building better retrieval augmented generation systems.
⚙️ What is full-text search, and how does it work?
Learn the inner workings of a full-text search engine.
🎙️ Coruzant podcast with Quentin de Quelen
Listen to our CEO discuss his entrepreneur journey and all things Meilisearch.
🔝 Top 10 alternatives to Elasticsearch
Discover their key features, pricing, pros, and cons based on users feedback.
🔍 What is federated search?
Discover the different types of federated search, and their benefits and challenges.
🤗 Made with Meilisearch
Agora uses Meilisearch hybrid search to provide instant search results across various data sources to build a fast and intuitive ecommerce experience.
We’re always looking to promote new projects from the community. Post yours in the #built-with-meilisearch Discord channel!
Receive this updates in your inbox by subscribing to our monthly newsletter. To learn more about Meilisearch's future and help shape it, take a look at our roadmap and participate in our Product Discussions.
For anything else, join our developers community on Discord.
Meilisearch March updates
Your monthly recap of everything Meilisearch. March 2025 edition.
Meilisearch AI launch week recap
Meilisearch AI launch recap: Transforming search with AI and personalization
Building the future of search with Meilisearch AI
We're transforming how developers build search with Meilisearch AI. No more complex infrastructure—just powerful, intelligent search that works out of the box.
