Meilisearch April updates
Your monthly recap of everything Meilisearch. April 2025 edition.
In this article
Hey, here's a recap of everything that happened at Meilisearch during April.
đ 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.
đ° In the news
đ˘ Why you shouldn't use a vector database for RAG
The contrarian take on building better retrieval augmented generation systems.
âď¸ What is full-text search, and how does it work?
Learn the inner workings of a full-text search engine.
đď¸ Coruzant podcast with Quentin de Quelen
Listen to our CEO discuss his entrepreneur journey and all things Meilisearch.
đ Top 10 alternatives to Elasticsearch
Discover their key features, pricing, pros, and cons based on users feedback.
đ What is federated search?
Discover the different types of federated search, and their benefits and challenges.
đ¤ 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.
Weâre 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.
Launch Week wrap-up: everything that shipped in five days, April 2026
Everything from Meilisearch Launch Week, in one place. Five days, every release, who it's for.
Conversational search, out of the box: Meilisearch Chat in Cloud UI
Meilisearch Cloud now ships a built-in chat UI. Select an index, get an auto-generated system prompt, guardrails, and an inspector tab to debug - no separate AI pipeline required.
Scale without limits: introducing sharding & replication in Meilisearch Cloud
Meilisearch Cloud now supports sharding and replication - letting your search infrastructure scale horizontally, stay available during updates, and serve users from the nearest node. Here is what that means and who it is for.