[renovate]

This PR contains the following updates:

Package	Update	Change
getmeili/meilisearch	minor	v1.22.3 -> v1.27.0

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Release Notes

meilisearch/meilisearch (getmeili/meilisearch)

v1.27.0: 🦮

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This release improves the batch size for better performance. It also fixes bugs with the embedders that could skip some documents during generation and resolves an issue with the document route that displayed the same documents on multiple pages. It improves the quality of error messages when uploading snapshots to S3, which helps with debugging.

⚙️ Compatibility support

• Update macOS platform version in the CI by @​Kerollmops in #​6001
  Meilisearch MacOS binaries now generated with MacOS Sonoma (macos-14)

✨ Enhancement

• Show errors in the task queue to improve debugging of S3 snapshot uploads by @​Kerollmops in #​5994
• Batched tasks total size now defaults to half of the max indexing memory to improve task ingestion by @​Kerollmops in #​5990 & #​6005

🪲 Bug fixes

• Fix issue that could cause Meilisearch to skip some documents when performing embedding operations by @​dureuill in #​5995
  • Every available_parallelismth document in a batch was ignored for the purpose of embedding when using a Hugging Face embedder #​5976
  • Every 40th document in a batch was ignored for the purpose of embedding when using a REST embedder with only one embedding per request
  • To verify if documents in your database have been affected:
    1. enable the multimodal exp. feature
    2. search or fetch with filter: NOT _vectors EXISTS to find documents without vectors.
• Fix /documents/fetch bug that could cause duplicated search results when paginating sorted documents by @​ManyTheFish in #​5999

Full Changelog: meilisearch/meilisearch@v1.26.0...v1.27.0

v1.26.0: 🐛

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✨ Enhancements

Allow to attach custom metadata in the document addition or update tasks

• To make it easier to keep track of which documents were processed by Meilisearch, it is now possible to attach an arbitrary string to all routes that create document-related tasks.
• Tasks created with this custom metadata will display the passed metadata when accessed by the tasks route or sent in webhooks.
• To use this feature, add the customMetadata query parameter to any supported route:

POST /indexes/{indexUid}/documents?customMetadata=my-metadata-for-the-task

• Note that, as usual for query parameters, the value of the parameter must be URL-encoded.
• List of supported routes:

POST /indexes/{indexUid}/documents
PUT /indexes/{indexUid}/documents
DELETE /indexes/{indexUid}/documents/{documentId}
POST /indexes/{indexUid}/documents/delete-batch
POST /indexes/{indexUid}/documents/delete
POST /indexes/{indexUid}/documents/edit
DELETE /indexes/{indexUid}/documents

• Sample output of GET /tasks for tasks with metadata:

{
  "results": [
    {
      "uid": 37,
      "batchUid": 37,
      "indexUid": "mieli",
      "status": "succeeded",
      "type": "documentDeletion",
      "canceledBy": null,
      "details": {
        "deletedDocuments": 31944
      },
      "error": null,
      "duration": "PT0.511099S",
      "enqueuedAt": "2025-11-06T16:33:37.816237Z",
      "startedAt": "2025-11-06T16:33:37.821591Z",
      "finishedAt": "2025-11-06T16:33:38.33269Z",
      "customMetadata": "removeall"
    },
    {
      "uid": 36,
      "batchUid": 36,
      "indexUid": "movies",
      "status": "succeeded",
      "type": "documentAdditionOrUpdate",
      "canceledBy": null,
      "details": {
        "receivedDocuments": 31968,
        "indexedDocuments": 31944
      },
      "error": null,
      "duration": "PT3.192271S",
      "enqueuedAt": "2025-10-30T10:31:12.896073Z",
      "startedAt": "2025-10-30T10:31:12.911905Z",
      "finishedAt": "2025-10-30T10:31:16.104176Z",
      "customMetadata": "foo"
    }
  ],
  "total": 38,
  "limit": 2,
  "from": 36,
  "next": 35
}

by @​dureuill in #​5963

Support more models for huggingFace embedder

You can now select models with the modernBERT architecture when generating embeddings locally on CPU or GPU with the huggingFace embedder.

This unlocks for instance Ruri v3 and other models

by @​hayatosc in #​5980

🧪 Experimental: embedder failure modes

You can now decide to ignore some embedder-related errors. Either:

1. Errors related to a document template not rendering properly
2. Errors related to an embedding request to an embedder failing (this includes missing vectors in userProvided embedders)
3. Or both kinds of errors.

When errors are ignored, the corresponding documents will not have embeddings, but the associated batch of tasks will not be marked as failed.

Of course, ignoring errors means that it is harder to notice an issue with embedders, so use this feature parsimoniously.

To enable the feature:

• Customers of the Cloud, please ask the support.
• OSS users, please use the MEILI_EXPERIMENTAL_CONFIG_EMBEDDER_FAILURE_MODES and set it to a comma-separated list of errors to ignore, with the possible values:
  1. ignore_document_template_failures to ignore document template failures
  2. ignore_embedder_failures to ignore embedder failures
  • For example: ignore_document_template_failures,ignore_embedder_failures ignores both kinds of failures

by @​dureuill in #​5984

🧪 Experimental: timeout control for REST embedders

You can now control the duration before a REST embedder request times out.

• Customers of the Cloud, please ask the support.
• OSS users, please use the MEILI_EXPERIMENTAL_REST_EMBEDDER_TIMEOUT_SECONDS, which must be a positive integer.

by @​dureuill in #​5984

🔩 Misc

• Remove unused dependency allocator-api2 by @​xuhongxu96 in #​5969

👥 Contributors

Many thanks to our new contributors @​hayatosc and @​xuhongxu96 ❤️

v1.25.0: 🐈‍⬛

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✨ Enhancement

🔬 [Experimental]: Search personalization by @​ManyTheFish in #​5775

Add the ability to dynamically rerank the search results based on Cohere using a personalized prompt.
For more information on how to set it up, see the dedicated experimental feature discussion.

🔬 [Experimental]: Upload snapshot tarballs to S3 by @​Kerollmops in #​5948

Add the ability to upload snapshots directly to S3. It has many advantages, such as being able to stream the entire process and effectively utilizing multipart technology to send chunks of data in parallel.
For more information on how to use it, see the dedicated experimental feature discussion.

🪲 Bug fixes

⚠️ [Breaking - Security] Redact Authorization header in webhooks by @​dureuill in #​5968

The value of the Authorization header is now redacted when getting webhook, getting webhooks, or in the object returned when posting a new webhook or deleting a webhook.

• Impact on Cloud: Similarly to embedder API, the UI should make sure to never send the Authorization header back after it has been redacted
• Technically a breaking change, as users could previously get the key value back when getting the webhook, and that will no longer be possible

🚰 Fix the LMDB fork memory leak by @​Kerollmops in #​5967

This bug was causing crashes in the recent indexer optimizations. If you deactivated these optimizations by setting the following environment variables:

MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_PREFIX_POST_PROCESSING=true
MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_FACET_POST_PROCESSING=true

You can now safely reactivate them without experiencing memory leaks.

🇩🇪 Hotfix German word segmentation by @​ManyTheFish in meilisearch/charabia#360

German word segmentation relies on a word dictionary to segment words, but if a word is not part of the dictionary, it is cut into bigrams. The segmenter will now skip segmenting unknown words:

Source: "Feuchteschutz"
Before: ["Fe" "uc" "ht" "es, "ch", "utz"]
After:  ["Feuchteschutz"]

Source: "insgesamt"
Before: ["in" "sg" "es" "amt"]
After:  ["insgesamt"]

If you have a Meilisearch database containing German words, you must reindex your data manually.

🇨🇳 Prevent splitting of numbers and English words in Chinese text segmentation by @​JinheLin in meilisearch/charabia#354

It’s very common for Chinese, numbers, and English to appear together in the same sentence.
We now ensure that numbers and English are not segmented differently between segmenters:

Source: "我从2025年开始学习Rust语言。"
Before: ["我", "从", "2", "0", "2", "5", "年", "开始", "学习", "R", "u", "s", "t", "语言", "。"]
After:  ["我", "从", "2025", "年", "开始", "学习", "Rust", "语言", "。"]

If you have a Meilisearch database containing Chinese words, you must reindex your data manually.

🔩 Miscellaneous

• Add Flickr example to README by @​Kerollmops in #​5961

Thanks to @​JinheLin, @​dureuill, @​Kerollmops, and @​ManyTheFish for their contribution! 🎉

v1.24.0: 🦞

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This release features some improvements with the interaction of the vector store and the searchCutoffMs when using the "vectorStore": "experimental" index setting. It also introduces the metadata header Meili-Include-Metadata on the search request that adds a metadata field to the response. These metadatas contains one uid by query and a reminder of the indexUid and its primary key. We also introduced minor bug fixes around the compaction to improve the interaction with task cancellation.

✨ Enhancement

• Improve the vector store search cutoff by @​dureuill in #​5945
• Improve compaction behaviors by @​Kerollmops in #​5946
• Search metadata by @​ManyTheFish in #​5926

🔩 Miscellaneous

• Adapt the standards of prototypes by @​curquiza in #​5942
• Bump Dockerfile alpine version to 3.22 by @​PedroTroller in #​5866

👥 New Contributors

• @​PedroTroller made their first contribution in #​5866

Full Changelog: meilisearch/meilisearch@v1.23.0...v1.24.0

v1.23.0: 🐘

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This release introduces a new compact route on the index routes, which appends a new compaction task to the queue. Meilisearch uses an LMDB environment by index, and indexes start to fragment after some time. We have noticed that the indexes generally have 30% fragmentation. By defragmenting the environment, we've seen large (2-4x) speed-ups in terms of search and indexation. This is primarily due to the reordering of the LMDB internal pages and the removal of scattered free pages throughout the file, thereby relocating the content to the beginning.

We also worked on parallelizing the post-processing of facets. We noticed that a lot of time was spent iterating over the prefixes of the index in a single-threaded loop. We redesigned this part of the indexation to make it multi-threaded. We have seen a 4x and 6x improvement in terms of time spent on this operation.

✨ Improvements

• Introduce a task to compact an index by @​Kerollmops in #​5929
• Parallelize bulk facets & word prefix fid/position docids by @​Kerollmops in #​5307
• Change Java version in SDK CI by @​curquiza in #​5910
• Minor improvement in OpenAPI CI by @​curquiza in #​5834
• Add request uid to search routes by @​ManyTheFish in #​5863

🦋 Bug Fixes

• Fix ranking score bug when sort is present by @​ManyTheFish in #​5933
• Synonym performance fix by @​ManyTheFish in #​5930
• Update README.md to fix newsletter link by @​EazyAl in #​5911
• Try to fix GH license detection again by @​dureuill in #​5938

🔩 Miscellenaous

• Remove release-drafter and encourage usage of GitHub-generated notes by @​curquiza in #​5935
• Show Dependabot dependency upgrade in the changelog by @​curquiza in #​5900
• Bump actions/setup-go from 5 to 6 by @​dependabot[bot] in #​5912
• Bump actions/setup-dotnet from 4 to 5 by @​dependabot[bot] in #​5914
• Bump actions/setup-node from 4 to 5 by @​dependabot[bot] in #​5915
• Bump sigstore/cosign-installer from 3.9.2 to 3.10.0 by @​dependabot[bot] in #​5916
• Bump actions/setup-python from 5 to 6 by @​dependabot[bot] in #​5913

New Contributors

• @​EazyAl made their first contribution in #​5911

Full Changelog: meilisearch/meilisearch@v1.22.1...v1.23.0

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