Update getmeili/meilisearch Docker tag to v1.29.0 #670
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This PR contains the following updates:
v1.25.0->v1.29.0Release Notes
meilisearch/meilisearch (getmeili/meilisearch)
v1.29.0: 🐑Compare Source
Build compatibility note
The git binary must now be present at build time to populate the
commitSha1field of the/versionfield.This change was made for build performance reasons.
by @dureuill in #6030
🌈 Improvements
Another piece of the settings indexer is available: searchable and exact attributes
The new settings indexer scales better, supports near-instant cancellations and displays the progress of the indexing operation.
Previously, the new settings indexer was enabled only if the only changes in a settings batch were to embedder settings. In Meilisearch v1.29.0, the new settings indexer will be enabled if the change is any combination of:
searchableAttributesexactAttributesproximityPrecisionembedders(as before)Any other change to settings appearing in a batch will cause the batch to use the legacy settings indexer.
Additionally, the new settings indexer is currently disabled by default for Cloud users.
OSS users who would like to disable the new settings indexer should pass the
MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGSenvironment variable totrue.by @Kerollmops in #5983
Enable the new vector store by default for new indexes
Meilisearch v1.21.0 introduced a new vector store backend providing better performance and relevancy.
Starting with v1.29.0, any newly created index will default to the new backend.
Existing indexes will be left unchanged.
It is still possible to explicitly choose the vector store backend, please refer to the relevant experimental feature discussion page.
by @Kerollmops in #6004
Support more models for
huggingFaceembedderYou can now select models with the XLM Roberta architecture when generating embeddings locally on CPU or GPU with the
huggingFaceembedder.by @qdequele in #6018
🦋 Bug fixes
🔧 Maintenance and Misc.
Last week was a Quality of Life week, and while we still had improvements in the pipe, the bulk of our work was dedicated to maintenance tasks.
Most notably, the CI is now faster, going from over one hour to less than 30 minutes, and also more reliable as it automatically tests the dumpless upgrade.
xtasksub-command to generate prototype tag names with the expected nomenclature by @Kerollmops in #6022Full Changelog: meilisearch/meilisearch@v1.28.2...v1.29.0
v1.28.2: 🐩Compare Source
This release fixes a bug affecting the Prometheus metrics route in versions 1.28.0 and 1.28.1, specifically when the instance has too many tasks. The issue is visible as high memory usage and could cause the instance to be OOM-killed. If you are using the /metrics route, we recommend deleting all succeeded or failed tasks in the index using the dedicated route or upgrading to at least v1.28.2.
🐛 Bug fixes
Full Changelog: meilisearch/meilisearch@v1.28.1...v1.28.2
v1.28.1: 🐩Compare Source
This release features two fixes: one to ensure that we correctly upload the Linux-amd64 binaries for the Community and Enterprise editions, and one contributed by an external developer to ensure that we still return documents that don't contain the sortable attribute after those that do.
🐛 Bug Fixes
🫂 New Contributors
Full Changelog: meilisearch/meilisearch@v1.28.0...v1.28.1
v1.28.0: 🐩Compare Source
This release introduces improvements to language support and separates the community and enterprise binary editions. We now offer binaries under the BUSL-1.1 license, identified by the "enterprise" term in their names, in addition to our MIT-licensed binaries, which retain their original names. Docker images for the enterprise edition are available in the
getmeili/meilisearch-enterpriserepository.📝 Licensing
✨ Enhancement
🔩 Miscellaneous
🫂 New Contributors
Full Changelog: meilisearch/meilisearch@v1.27.0...v1.28.0
v1.27.0: 🦮Compare Source
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
Meilisearch MacOS binaries now generated with MacOS Sonoma (
macos-14)✨ Enhancement
🪲 Bug fixes
available_parallelismth document in a batch was ignored for the purpose of embedding when using a Hugging Face embedder #5976multimodalexp. featureNOT _vectors EXISTSto find documents without vectors./documents/fetchbug that could cause duplicated search results when paginating sorted documents by @ManyTheFish in #5999Full Changelog: meilisearch/meilisearch@v1.26.0...v1.27.0
v1.26.0: 🐛Compare Source
✨ Enhancements
Allow to attach custom metadata in the document addition or update tasks
customMetadataquery parameter to any supported route:GET /tasksfor 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
huggingFaceembedderYou can now select models with the
modernBERTarchitecture when generating embeddings locally on CPU or GPU with thehuggingFaceembedder.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:
userProvidedembedders)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:
MEILI_EXPERIMENTAL_CONFIG_EMBEDDER_FAILURE_MODESand set it to a comma-separated list of errors to ignore, with the possible values:ignore_document_template_failuresto ignore document template failuresignore_embedder_failuresto ignore embedder failuresignore_document_template_failures,ignore_embedder_failuresignores both kinds of failuresby @dureuill in #5984
🧪 Experimental: timeout control for REST embedders
You can now control the duration before a REST embedder request times out.
MEILI_EXPERIMENTAL_REST_EMBEDDER_TIMEOUT_SECONDS, which must be a positive integer.by @dureuill in #5984
🔩 Misc
allocator-api2by @xuhongxu96 in #5969👥 Contributors
Many thanks to our new contributors @hayatosc and @xuhongxu96 ❤️
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