Meilisearch v1.44.0 adds remote federated facet search, indexing performance improvements, and other improvements and bugfixes. It also contains a couple of breaking changes, detailed below.

Breaking changes

• When using the network experimental feature, with sharding enabled (leader is not null in the network configuration), POST /indexes/{indexUid}/facet-search calls now default to a remote federated facet search, fetching and merging results from all shards in the network.
• The timeout for calling an external REST embedder at search time is now tied to the searchCutOffMs defined in the index, rather than fixed.
• If you observe missing semantic results after upgrading, or HTTP 500 errors for pure semantic search, please increase the value of the search cutoff in the index settings.
• By @dureuill in https://github.com/meilisearch/meilisearch/pull/6377

🌈 Improvements

Remote facet search

Meilisearch now has the ability to search across all shards of a network during facet search via the existing dedicated facet search route.

• If you are using the network experimental feature and have a leader defined for your network, remote calls are now the default for calls to POST /indexes/{indexUid}/facet-search
• The behavior can be controlled explicitly via the new useNetwork parameter of the facet search object.

By @dureuill in https://github.com/meilisearch/meilisearch/pull/6375

Reduce memory usage of the indexing

Reduces allocated memory when computing prefixes and speeds up some operations to avoid unnecessary deserialization.

If you still see high memory usage while the engine is post-processing, we recommend using the --experimental-reduce-indexing-memory-usage option.

By @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6334

Improve GeoJSON indexing performance

This PR upgrades the cellulite library to a version that includes a GeoJSON indexing optimization. With this change, GeoJSON indexing avoids reprocessing documents that were already indexed in dense cells, and only handles newly added documents incrementally as they descend through the recursive cell tree.

By @YoEight in https://github.com/meilisearch/meilisearch/pull/6374

Human-formatted sizes and detailed DB sizes in stats

Adds two new query parameters to GET /indexes/{indexUid}/stats and GET /stats:

• showInternalDatabaseSizes: boolean, optional, defaults to false. When present, the index stat objects in responses of the stat routes now contain an additional internalDatabaseSizes key, whose value is a dictionary of the internal database names and their current size in the index, like in the stats object of a batch.
• sizeFormat: human or raw: optional, defaults to raw. When present and set to human, then all database sizes in responses of the stat routes will be returned as a string containing an appropriate unit (MiB, GiB, etc). When missing or set to raw, then the current behavior of expressing the size in bytes as a number is retained.

Note for integrations: The keys in internalDatabaseSizes are subject to change and should not be exposed as a strongly typed object. This is the same as the existing internalDatabaseSizes in batch stats.

Adding `showInternalDatabaseSizes` to an index stats

:::jsonc // curl -X GET "http://localhost:7700/indexes/movies/stats?showInternalDatabaseSizes=true" { "numberOfDocuments": 31944, "rawDocumentDbSize": 20594688, "avgDocumentSize": 636, "isIndexing": false, "internalDatabaseSizes": { "wordPairProximityDocids": 100827136, "documents": 20594688, "wordPositionDocids": 18694144, "wordFidDocids": 10715136, "wordPrefixPositionDocids": 10256384, "wordDocids": 9453568, "wordPrefixFidDocids": 4603904, "wordPrefixDocids": 3424256, "main": 1425408, "externalDocumentsIds": 999424, "fieldIdWordCountDocids": 245760, "exactWordPrefixDocids": 16384, "celluliteMetadata": 16384 }, "numberOfEmbeddings": 0, "numberOfEmbeddedDocuments": 0, "fieldDistribution": { "genres": 31944, "id": 31944, "overview": 31944, "poster": 31944, "release_date": 31944, "title": 31944 } }

Adding `showInternalDatabaseSizes` and `sizeFormat=human` to global stats

:::jsonc // curl -X GET "http://localhost:7700/stats?showInternalDatabaseSizes=true&sizeFormat=human" { "databaseSize": "351.38 MiB", "usedDatabaseSize": "350.64 MiB", "lastUpdate": "2026-04-16T13:07:02.74243Z", "indexes": { "comics": { "numberOfDocuments": 31944, "rawDocumentDbSize": "23.14 MiB", "avgDocumentSize": "751 B", "isIndexing": false, "internalDatabaseSizes": { "wordPairProximityDocids": "98.06 MiB", "documents": "23.14 MiB", "wordPositionDocids": "17.22 MiB", "wordFidDocids": "10.36 MiB", "wordPrefixPositionDocids": "9.47 MiB", "wordDocids": "8.97 MiB", "wordPrefixFidDocids": "4.36 MiB", "wordPrefixDocids": "3.27 MiB", "main": "1.36 MiB", "externalDocumentsIds": "944 KiB", "fieldIdWordCountDocids": "240 KiB", "exactWordPrefixDocids": "16 KiB", "celluliteMetadata": "16 KiB" }, "numberOfEmbeddings": 0, "numberOfEmbeddedDocuments": 0, "fieldDistribution": { "genres": 31944, "id": 31944, "overview": 31944, "poster": 31944, "release_date": 31944, "title": 31944 } }, "movies": { "numberOfDocuments": 31944, "rawDocumentDbSize": "19.64 MiB", "avgDocumentSize": "636 B", "isIndexing": false, "internalDatabaseSizes": { "wordPairProximityDocids": "96.16 MiB", "documents": "19.64 MiB", "wordPositionDocids": "17.83 MiB", "wordFidDocids": "10.22 MiB", "wordPrefixPositionDocids": "9.78 MiB", "wordDocids": "9.02 MiB", "wordPrefixFidDocids": "4.39 MiB", "wordPrefixDocids": "3.27 MiB", "main": "1.36 MiB", "externalDocumentsIds": "976 KiB", "fieldIdWordCountDocids": "240 KiB", "exactWordPrefixDocids": "16 KiB", "celluliteMetadata": "16 KiB" }, "numberOfEmbeddings": 0, "numberOfEmbeddedDocuments": 0, "fieldDistribution": { "genres": 31944, "id": 31944, "overview": 31944, "poster": 31944, "release_date": 31944, "title": 31944 } } } }

The call without any parameters is the same as in previous versions.

:::jsonc // curl -X GET "http://localhost:7700/stats" { "databaseSize": 368443392, "usedDatabaseSize": 367673344, "lastUpdate": "2026-04-16T13:07:02.74243Z", "indexes": { "comics": { "numberOfDocuments": 31944, "rawDocumentDbSize": 24264704, "avgDocumentSize": 751, "isIndexing": false, "numberOfEmbeddings": 0, "numberOfEmbeddedDocuments": 0, "fieldDistribution": { "genres": 31944, "id": 31944, "overview": 31944, "poster": 31944, "release_date": 31944, "title": 31944 } }, "movies": { "numberOfDocuments": 31944, "rawDocumentDbSize": 20594688, "avgDocumentSize": 636, "isIndexing": false, "numberOfEmbeddings": 0, "numberOfEmbeddedDocuments": 0, "fieldDistribution": { "genres": 31944, "id": 31944, "overview": 31944, "poster": 31944, "release_date": 31944, "title": 31944 } } } }

By @dureuill in https://github.com/meilisearch/meilisearch/pull/6338

🦋 Fixes

• Settings changes performed via a settings subroute (not the "all settings" route) are now correctly propagated to other remotes on the network. By @dureuill in https://github.com/meilisearch/meilisearch/pull/6380
• The chat route no longer fails in some condition when using Mistral as a provider. By @renezander030 in https://github.com/meilisearch/meilisearch/pull/6327
• Prevent accidentally renaming a remote when modifying the network configuration. By @dureuill in https://github.com/meilisearch/meilisearch/pull/6370

🔩 Miscellaneous changes

• Replace boolean by PatternMatch for searchable by @ManyTheFish in https://github.com/meilisearch/meilisearch/pull/6344
• Add query to federated search metadata by @StephaneRob in https://github.com/meilisearch/meilisearch/pull/6371
• Remove issue template for feature issues by @curquiza in https://github.com/meilisearch/meilisearch/pull/6372
• Improve the documentation of the health route by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6376

New Contributors

• @renezander030 made their first contribution in https://github.com/meilisearch/meilisearch/pull/6327
• @quyentonndbs made their first contribution in https://github.com/meilisearch/meilisearch/pull/6382

Full Changelog: https://github.com/meilisearch/meilisearch/compare/v1.43.1...v1.44.0