New Features
AI-powered search is now stable and enabled by default
AI-powered search is available to all users by default and no longer requires manual activation. Vector search, semantic search, and hybrid search capabilities are now production-ready.Dumpless upgrades
Upgrade to new Meilisearch releases without generating a dump file. Use the--experimental-dumpless-upgrade flag when starting Meilisearch after updating the binary:
Warning: Meilisearch recommends generating a backup snapshot before upgrading. This is an experimental feature, and failed upgrades may lead to database corruption.
Remote federated search requests
Query multiple Meilisearch instances simultaneously using the/multi-search route. This is particularly useful when handling very large databases.
First, enable the network experimental feature:
self instance and multiple remotes using the /network endpoint:
/multi-search query with the new federationOptions.remote parameter:
Improvements
Enhanced monitoring and performance insights
- New
usedDatabaseSizefield on the/statsroute to track actual database usage - Embeddings information now exposed on the
/statsroute - Prometheus metrics added to measure task queue latency
- Faster listing of indexes
- Improved task auto-batching with ability to limit total batch size
Better error messages
Improved error message when an attribute is not filterable, making it easier to debug search configuration issues.Other
Breaking changes
vectorStoreis no longer an accepted value for the/experimental-featuresroute- Ollama URLs must end with either
/api/embedor/api/embeddings - Error codes have been refined:
invalid_embedderhas been split intoinvalid_search_embedderandinvalid_similar_embedderfor search and similar endpointsinvalid_hybrid_queryhas been renamed toinvalid_search_hybrid_query