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.
Maya Shin
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.
Maya Shin
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.
Maya Shin
Meilisearch January updates
Your monthly recap of everything Meilisearch. January 2026 edition.
Maya Shin
That's a wrap: Meilisearch Launch Week, October 13-17th 2025
New in Meilisearch: Conversational AI, search personalization, multimodal, and more
Maya Shin
Scale with confidence: Introducing resource‑based pricing
Introducing resource-based pricing for Meilisearch: Choose your CPU and RAM, pay for what you provision, and scale with confidence.
Quentin de Quelen
Introducing Meilisearch Chat: conversational search for your data
Introducing Meilisearch Chat: turn your Meilisearch index into a conversational AI with a single /chat endpoint. Faster launches, lower costs, and direct answers your users actually want.
Maya Shin
Meilisearch 1.16
Meilisearch 1.16 introduces multi-modal embeddings and a new API to transfer data between instances.
Laurent Cazanove
Meilisearch 1.15
Meilisearch 1.15 introduces a new typo tolerance setting, comparison operators for string filters, and improved support for Chinese.
Carolina Ferreira
Meilisearch 1.14
Meilisearch 1.14 introduces new experimental features, including composite embedders and an embedding cache to boost performance. It also adds core features such as granular filterable attributes and batch document retrieval by ID.
Carolina Ferreira
Meilisearch AI launch week recap
Meilisearch AI launch recap: Transforming search with AI and personalization
Maya Shin
Introducing Meilisearch's next-generation indexer: 4x faster updates, 30% less storage
Indexer edition 2024 revolutionizes search performance with parallel processing, optimized RAM usage, and enhanced observability. See what's new in our latest release.
Louis Dureuil
Meilisearch 1.13
Meilisearch 1.13 stabilizes AI-powered search, introduces remote federated search – laying the groundwork for sharding – and makes version upgrades easier.
Carolina Ferreira
Meilisearch 1.12
Meilisearch 1.12 brings significant indexing speed improvement and introduces new APIs disable prefix search and facet search, and retrieve task batches.
Laurent Cazanove
Meilisearch Q4 2024 release wrap-up
Meilisearch Q4 release includes faster search, more control over settings in UI and a new region.
Maya Shin
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.
Carolina Ferreira
Meilisearch 1.10
Meilisearch 1.10 introduces federated search and locale settings, and paves the way for AI-powered search stabilization.
Laurent Cazanove
Meilisearch 1.9
Meilisearch 1.9 brings similar documents, ranking score threshold, grouping by attribute, and improved AI search.
Laurent Cazanove
Here's what you missed in the latest Meilisearch live event: V1.8, V1.9, new embedders, query suggestions, and more.
On June 11, 2024, Meilisearch hosted a live event packed with product updates, sneak peeks, and roadmap discussions. If you couldn't make it, here's a quick recap of what went down.
Maya Shin
Meilisearch 1.8
Meilisearch 1.8 brings negative keyword search, improvements in search robustness and AI search, including new embedders.
Carolina Ferreira
Meilisearch 1.7
Meilisearch 1.7 stabilizes ranking score details, adds GPU support for Hugging Face embeddings, and integrates the latest OpenAI embedding models.
Laurent Cazanove
Introducing hybrid search: combining full-text and semantic search for optimal balance
Meilisearch's AI journey began last summer with vector search and storage. Today, we unveil hybrid search with autogenerated embedders, advancing our AI capabilities.
Maya Shin
Cloud monitoring metrics have arrived!
Get an overview of your Meilisearch project's health and swiftly tackle any issue.
Carolina Ferreira
Meilisearch v1.6
Meilisearch 1.6 brings hybrid search and significant advancements in indexing speed.
Carolina Ferreira
Meilisearch v1.5
Meilisearch 1.5 brings indexing speed improvements, on-demand snapshots, and Puffin reports exports.
Laurent Cazanove
Search analytics have arrived!
Get immediate actionable insight to optimize your search - all in one interactive dashboard.
Maya Shin
What's new in v1.4?
Meilisearch v1.4 introduces the ability to configure custom text separators and user-defined dictionaries.
Carolina Ferreira
What’s new in v1.3?
v1.3 introduces many exciting features, including vector search, ranking score details, search for facet values, and searchable fields at query time.
Carolina Ferreira
What's new in v1.2?
Meilisearch 1.2 release brings new powers to filters and engine improvements across the board.
Laurent Cazanove
Search-as-a-service Meilisearch Cloud is open to the public
Now any business can benefit from Meilisearch’s exceptional developer and search experience without dealing with server management.
D
Dave Larkan
What’s new in v1.1
Get ready for our latest release, featuring the highly-anticipated multi-index search and other exciting new features!
Carolina Ferreira
Meilisearch v0.9: What’s new?
Meilisearch v0.9 removes the schema requirement, adds a built-in web interface, and simplifies settings and authentication.
Charlotte Vermandel
What’s new in v1.0
The first major release of Meilisearch stabilizes the CLI, enhances security, and promises to be the last breaking changes until the next major release.
Carolina Ferreira
What's new in v0.30
This release brings you index swapping for zero downtime deployments, numbered pagination to browse through your search results, and adds new task management features.
Carolina Ferreira
What’s new in v0.29
This month's release brings you a much-awaited new feature: matching strategy customization. It also brings a lot of improvements regarding indexing speed, filters, and key management.
Carolina Ferreira
What's new in v0.28
This month’s release brings you two great new features: smart crop and deterministic API keys. It also takes us a little closer to v1.0 with the stabilization of our API!
Carolina Ferreira
What's new in v0.27
This month's release brings support for nested fields, typo tolerance customization, and new search parameters.
Shivay Lamba
What's new in v0.26
This month's release brings you two great new features: tenant tokens and auto-batching.
Shivay Lamba
What's new in v0.25
This month’s release brings big changes to API key management and asynchronous tasks.
Ferdinand Boas
Refactoring Meilisearch: v0.21 has entered the chat
MeiliSearch v0.21 is just around the corner! Take a look at some of what is happening under the hood of our new version.
Clémentine Urquizar
What's new in 0.13.0
Meilisearch v0.13.0 introduces placeholder search, POST route search, and new settings behavior for improved consistency.
M
Marin Postma
Meilisearch v0.11: What’s new?
Meilisearch v0.11 introduces faceted search, enabling users to filter and categorize search results with a simple API.
Charlotte Vermandel