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Update all non-major dependencies#97

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Jun 23, 2026
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Update all non-major dependencies#97
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renovate/all-minor-patch

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@renovate renovate Bot commented Jun 23, 2026

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This PR contains the following updates:

Package Update Change
getmeili/meilisearch minor v1.42.1 → v1.48.1

Release Notes

meilisearch/meilisearch (getmeili/meilisearch)

v1.48.1: 🫎

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Revert #​6432 due to a dumpless upgrade bug report.

Full Changelog: meilisearch/meilisearch@v1.48.0...v1.48.1

v1.48.0: 🫎​

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✨ Enhancement

[Experimental] Render 🫎​ template route

by @​Mubelotix in #​5765

Introduces a new POST /render-template route that can be used to render any template or fragment on any input and associated renderRoute experimental feature that gates access to the route.

This route can be used to test document templates and fragments before and after having configured an embedder.

A body payload for the route is of the form:

{
  "template": /* templateTarget object */,
  "input": /* inputTarget object or null */
}

where template describes the template or fragment to render, and input describes what to use to render the template.

Upon calling this route, Meilisearch responds with:

{
  "template": "{{doc.text}}",
  "rendered": "template text after rendering using the input"
}

where template contains the unrendered base text of the document template, or the unrendered base JSON object of a fragment, and rendered contains the result of rendering the template of the chosen input.

If input is null in the request, then rendered is null in the response, and the route can be used solely to retrieve a template or fragment from the settings of an index.

Before calling the route

The API of this route is subject to change, so before calling this route, please enable the renderRoute experimental feature:

PATCH /experimental-features --json '{"renderRoute": true}'
Examples
  1. Rendering a document from an index on a document template from an embedder of that index
request 
// POST /render-template

{
  "template": {
    "kind": "documentTemplate",
    "indexUid": "movies",
    "embedder": "myMoviesEmbedder"
  },
  "input": {
    "kind": "indexDocument",
    "indexUid": "movies",
    "id": "2"
}
response 
{
  "template": "A movie titled {{doc.title}} whose description starts with {{doc.overview|truncatewords:10}}",
  "rendered": "A movie titled Ariel whose description starts with Taisto Kasurinen is a Finnish coal miner whose father has..."
}
  1. Rendering an inline document on a fragment from an embedder of an index
request 
// POST /render-template

{
  "template": { 
    "kind": "indexingFragment", 
    "indexUid": "dogs", 
    "embedder": "multi",
    "fragment": "captionedImage" 
  },
  "input": { 
    "kind": "inlineDocument", 
    "inline": { // pass your document inline as a JSON object
      "kind": "dog",
      "name": "iko",
      "breed": "jack russell",
      "mime": "image/png",
      "image": "/9j/4AAQSk..."
    } 
  }
}
response 
{
  "template": {
    "content": [
      {
        "type": "text",
        "text": "A picture of a {{doc.kind}} of breed {{doc.breed}}"
      },
      {
        "type": "image_base64",
        "image_base64": "data:{{doc.mime}};base64,{{doc.image}}"
      }
    ]
  },
  "rendered": {
    "content": [
      {
        "type": "text",
        "text": "A picture of a dog of breed jack russell"
      },
      {
        "type": "image_base64",
        "image_base64": "data:image/png;base64,/9j/4AAQSk..."
      }
    ]
  }
}
  1. Rendering a search query on a search fragment from a multimodal embedder of an index
request 
// POST /render-template
{
  "template": { 
    "kind": "searchFragment", 
    "indexUid": "testIndex", 
    "embedder": "testEmbedder",
    "fragment": "justBreed"
  },
  "input": {
    "kind": "inlineSearch",
    "inline": { // pass the search query inline
      "q": "unused",
      "media": {
        "name": "iko",
        "breed": "jack russell"
      },
      "filter": "ignored"
    }
  }
}
response 
    {
      "template": "It's a {{ media.breed }}",
      "rendered": "It's a jack russell"
    }
  1. Rendering an inline document on the document template from the chat settings of an index
request 
// POST /render-template

{
  "template": {
    "kind": "chatDocumentTemplate",
    "indexUid": "movies"
	// no embedder to specify since chat document template is global to index
  },
  "input": {
    "kind": "indexDocument",
    "indexUid": "movies",
    "id": "2"
}
response 
{
  "template": "{% for field in fields %}{% if field.is_searchable and field.value != nil %}{{ field.name }}: {{ field.value }}\n{% endif %}{% endfor %}",
  "rendered": "id: 2\ntitle: Ariel\noverview: Taisto Kasurinen is a Finnish coal miner whose father has just committed suicide and who is framed for a crime he did not commit. In jail, he starts to dream about leaving the country and starting a new life. He escapes from prison but things don't go as planned...\ngenres: DramaCrimeComedy\nposter: https://image.tmdb.org/t/p/w500/ojDg0PGvs6R9xYFodRct2kdI6wC.jpg\nrelease_date: 593395200\n"
}
  1. Rendering a document from an index on an inline document template
request 
// POST /render-template

{
  "template": {
    "kind": "inlineDocumentTemplate",
    "inline": "You can pass templates inline as well: nice to test them! {{doc.id}}"
  },
  "input": {
    "kind": "indexDocument",
    "indexUid": "movies",
    "id": "2"
}
response 
{
  "template": "You can pass templates inline as well: nice to test them! {{doc.id}}",
  "rendered": "You can pass templates inline as well: nice to test them! 2"
}
  1. Rendering an inline document on an inline indexing fragment
request 
// POST /render-template

{
  "template": {
    "kind": "inlineFragment",
    "inline": {
      "json_maps": "supported for fragments",
      "any_string": "is in liquid format: {{doc.test}}"
    }
  },
  "input": {
     "kind": "inlineDocument",
    "inline": {
      "test": true
    }
  }
}
response 
{
  "template": {
    "json_maps": "supported for fragments",
    "any_string": "is in liquid format: {{doc.test}}"
  },
  "rendered": {
    "json_maps": "supported for fragments",
    "any_string": "is in liquid format: true"
  }
}

[Experimental] Only support foreign filters on retrieval routes

by @​ManyTheFish in #​6446

Foreign filters are meant to be used in a retrieval context (search, get document...), but all the actions related to writing or modifying a document could have several unexpected behaviors if foreign filters are accepted.
We prefer forbidding the usage of this feature on the writing routes.

The following routes do not support Foreign-filter anymore:

Additional change: we now ensure that the experimental features are checked when parsing a filter

🪲 Bug fixes

🔒 Security

🔩 Miscellaneous

❤️ Thanks again to @​genisis0x and @​antcybersec

v1.47.0: 🦇

Compare Source

🌈 Enhancements

Search personalization on federated search

We now support using the search personalization feature on federated search requests.

Like page/hitPerPage or limit/offset, the personalization option must be specified in the federation attribute to work properly.
Otherwise, an error will be returned reminding you to move the attribute in federation.

By @​ManyTheFish in #​6414

The new settings indexer is feature complete 🎉

  • We now better support the tokenizer-related settings
  • We improved the quality of the new settings indexer to enhance the engine's performance when changing the locales, the dictionary, synonyms, stop words, separator, and non-separator tokens.
  • This makes the new settings indexer feature-complete, meaning that, unless you set the MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS environment variable to true, all settings tasks can now be handled by the new settings indexer, bringing a better scaling behavior, much faster cancellation, and a more precise progress view.

By @​Kerollmops in #​6409

Observability improvements

We expose more Prometheus metrics to improve observability, specifically to show more metrics on document throughput and ease debugging.

By @​Kerollmops in #​6430

🦋 Fixes

  • Putting attributeRank/ wordPosition before words in the rankingRules list will no longer remove hits from the response, by @​pjdurden in #​6437
  • Meilisearch will no longer ignore the searchCutoffMs in some conditions when embedding documents, by @​dureuill in #​6447
  • Meilisearch will no longer fail to proxy a search request with a filter containing a ' during remote federated search or useNetwork: true search requests, by @​dureuill in #​6445

🔒 Security

🔩 Misc. changes

Search implementation refactor

Refactor the search pipeline to mutualize the code.
The new implementation will always perform a federated search under the hood, and then the output will be transformed into the expected route's output.

Noticeable changes from the user perspective:

  • Some error messages have been modified
  • Small breaking change: a few error codes change, such as MultiSearch<Error> <--> Search<Error>

Other changes

New Contributors

Full Changelog: meilisearch/meilisearch@v1.46.1...v1.47.0

v1.46.1: 🦆

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Queue documents fetch routes

Add an experimental feature, queueDocumentsFetch, forcing the routes GET indexes/:uid/documents and POST indexes/:uid/documents/fetch to wait in the search queue if there is no available thread to process them.

v1.46.0: 🦆

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This release introduces fixes for a regression in v1.45.0, where we were batching deletions by filter with other deletions or additions. It also enables the new settings indexer to support more parameters, making the engine faster to index documents when those settings are specified.

✨ Enhancement

  • Support exact and disable on numbers in the new settings indexer by @​Kerollmops in #​6398
    Introduce support for exact words and disable-on-words parameters in the new settings indexer, making the engine more efficient when changing these settings.

  • Support computing prefixes in the new settings indexer by @​Kerollmops in #​6391
    Support for the prefix search settings in the new settings indexer, so that changing this parameter makes the engine more efficient.

🪲 Bug fixes

  • Better limit read bytes when creating the S3 multipart part by @​Kerollmops in #​6405
    This fixes an issue we had with the multipart part size by ensuring we never construct a part larger than the defined multipart part size. With this fix, we always create a multipart with the provided multipart part size, except for the last part. Thanks, @​vidit-virmani, for the help investigating the issue.

  • Batch of documentDeletionByFilter with documentAdditionOrUpdate by @​Kerollmops and @​ManyTheFish in #​6415
    Correctly implement the support for auto-batching deletion by filter with document replacement and updates. This fixes a regression introduced in v1.45.0.

  • Fix a panic with incomplete filters by @​Kerollmops in #​6421
    Fixes an internal panic when a filter is incomplete by returning an error instead.

🔒 Security
🔩 Miscellaneous

v1.45.2: 🦒

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🪲 Bug Fixes
  • Fix internal vector stores quantization config desync by @​Kerollmops in #​6411
    We noticed issues when dumpless upgrading databases containing embedders from versions older than v1.33.1. This version fixes those databases by removing the corrupted embeddings from the impacted indexes.

Full Changelog: meilisearch/meilisearch@v1.45.1...v1.45.2

v1.45.1: 🦒

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🪲 Bug Fixes

Full Changelog: meilisearch/meilisearch@v1.45.0...v1.45.1

v1.45.0: 🦒

Compare Source

Meilisearch v1.45.0 mainly improves indexing performance when changing settings and also improves document fetch performance.

✨ Enhancement
  • Autobatch deletions by filter with additions by @​Kerollmops in #​6389
    While Meilisearch tries to improve indexing speed when users add documents and mix those additions with deletions via a filter, it is still an anti-pattern to interleave both. It is recommended to delete documents by ID whenever possible, as the engine is optimized to merge them, thereby drastically speeding up indexation.
  • Improve settings indexing performance & visibility
    We are introducing support for more settings in the nez settings indexer. If you find any bugs, please report them on GitHub. You can disable the new settings indexer by setting the environment variable like this: MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS=true or use the equivalent dedicated CLI parameter.
    • Support non-extracting parameters by @​Kerollmops in #​6393
      Changing one of the following settings is now directly handled by the new settings indexer: displayed fields, synonyms, the primary key, authorize typos, min word len one and two typos, max values per facet, sort facet values by, pagination max total hits, search cut off, chat, and foreign keys.
    • Support the global facet search by @​Kerollmops in #​6390
      Meilisearch can use the new settings indexer when the settings change the facet search root boolean parameter.
🪲 Bug Fixes
  • Fetching documents no longer blocks the actix worker @​dureuill in #​6402
  • Fix an internal error when changing the binary quantization by @​Kerollmops in #​6396
    We fixed an issue where users were changing the binary-quantized boolean in embedder configurations. The change corrupted the database, making it impossible to change the quantization in the future. Users had to create a binary-quantized embedder from scratch, or they could never change it again.
🔩 Miscellaneous

Full Changelog: meilisearch/meilisearch@v1.44.0...v1.45.0

v1.44.0

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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 #​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 #​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 #​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 #​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

 
// 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

 
// 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.

 
// 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 #​6338

🦋 Fixes

🔩 Miscellaneous changes

New Contributors

Full Changelog: meilisearch/meilisearch@v1.43.1...v1.44.0

v1.43.1

Compare Source

Meilisearch v1.43.1 contains a security fix for an authenticated SSRF vulnerability.

No exploitation was found on Meilisearch Cloud. Cloud users are not required to update.

We recommend that self-hosting users upgrade if they allow third parties to configure Meilisearch instances.

We thank Sion Park (@​tldhs1144), who reported the issue and suggested a fix, for improving the security of Meilisearch ❤️

v1.43.0

Compare Source

🌈 Enhancements
New settings indexer

The new settings indexer, a more efficient version of our internal indexer for index settings modifications, now supports filterable, sortable, facet search, and custom (asc/desc) attributes in addition to the already-supported searchable, exact, proximity precision, and embedders.

  • For Meilisearch Cloud users, the new settings indexer is disabled by default and can be enabled on a case-by-case basis for scaling purposes.
  • For OSS users, the new settings indexer can be disabled by setting the MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS to true.

By @​Kerollmops in #​6124

Improve facet search indexing performance

We reduced the time to generate the internal data structures for the facet search to work. We were previously doing a couple of full scans on the internal entries and replaced these with scans on specific entries, only the ones dedicated to the facet searchable fields.

By @​Kerollmops in #​6325

Improve task queue compaction integration

The GET /health route now returns HTTP 500 after a successful task queue compaction, to signal that Meilisearch should be restarted so that tasks can be enqueued again.

For Meilisearch Cloud users, this ensures that compacting the task queue will automatically restart the instance after the compaction.

🦋 Fixes
Fix lexicographic filters on strings

Fixes a bug where string facet values appearing in <, <=, >, >= and IN filters were not normalized before comparison to facet values.

This would cause some values in documents (e.g. 2026-01-01T00:00:00) to appear to be higher than their filter counterpart, due to being normalized (e.g. like 2026-01-01t00:00:00).

Thanks to @​njaard for reporting the issue ❤️

By @​dureuill in #​6340

Fix typo tolerance v1.41 regression

Fixes the WordDelta::added_or_deleted_words function.

By @​Kerollmops in #​6350.

Thanks to @​vladradin99 and @​snurfer0 for reporting the issue in #​6349 and #​6324 ❤️

🔩 Miscellaneous

Thanks again @​gounthar, @​njaard, @​vladradin99 and @​snurfer0 for your contributions ❤️

Full Changelog: meilisearch/meilisearch@v1.42.1...v1.43.0

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@khathepham khathepham merged commit 96a08e3 into main Jun 23, 2026
@khathepham khathepham deleted the renovate/all-minor-patch branch June 23, 2026 14:09
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