| v1.45.2 | ### ๐ชฒ Bug Fixes * Fix internal vector stores quantization config desync by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/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**: https://github.com/meilisearch/meilisearch/compare/v1.45.1...v1.45.2 | High | 6/2/2026 |
| v1.45.1 | ### ๐ชฒ Bug Fixes * Revert autobatch deletions by filter with additions by @kerollmops in https://github.com/meilisearch/meilisearch/pull/6412 **Full Changelog**: https://github.com/meilisearch/meilisearch/compare/v1.45.0...v1.45.1 | High | 5/28/2026 |
| v1.45.0 | Meilisearch v1.45.0 mainly improves indexing performance when changing settings and also improves document fetch performance. ### โจ Enhancement - **Autobatch deletions by filter with additions** by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/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 when | High | 5/26/2026 |
| v1.44.0 | 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. - | High | 5/18/2026 |
| v1.43.1 | 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 โค๏ธ | High | 5/12/2026 |
| v1.43.0 | # ๐ 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, t | High | 5/4/2026 |
| v1.42.1 | ## ๐ชฒ Bug fixes ### Fix issues when using the legacy settings indexer By @dureuill and @ManyTheFish in https://github.com/meilisearch/meilisearch/pull/6331 - When using the experimental feature "multimodal", removing a fragment would cause an internal error in subsequent search requests - When using the experimental feature "multimodal", modifying fragments would sometimes cause an internal error at indexing time - `regenerate: false` would be ignored when modifying embedder settings
| High | 4/14/2026 |
| v1.42.0 | # **โจ Enhancement** ## Introduce the RemoteAvailability struct to support query fallback By @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6306 We introduce a new fallback system for the sharding and replication enterprise edition feature, along with a way to determine which remote is available. The engine can avoid machines that are unavailable for a period and resume querying them once they're back online. The following snippet shows what the /network route looks li | High | 4/13/2026 |
| v1.41.0 | ### โจ Enhancement - **Support dynamic search rules with pinning** by @YoEight in https://github.com/meilisearch/meilisearch/pull/6182 Introduce the Dynamic Search Rules (DSR) experimental feature, making it easy to promote the right content for the right searches with flexible, condition-based pinning. In this first version, rules can be triggered by query-based conditions such as empty queries or literal substring matches, as well as time windows. Multiple documents can be pinned in a defi | Medium | 3/30/2026 |
| v1.40.0 | This release introduced support for the `distinct` attribute in federated search, enabling cross-index distinct attributes with facet distribution support. Additionally, significant performance improvements were delivered, including faster federated search (approximately 100ms faster), optimized JSON document generation for better handling of large documents and a much better memory usage for large workloads. ### โจ Enhancement - **Support `distinct` in federated search** by @dureuill in ht | Medium | 3/23/2026 |
| v1.39.0 | # What's Changed ## **โจ Enhancement** ### ๐ฌ Cross-index document hydration Add a new `ForeignKeys` setting allowing to hydrate documents with documents coming from other indexes. > ๐ Note: This implementation doesn't support a remote sharding environment #### `foreignKeys` experimental feature A new experimental feature, `foreignKeys`, has been added to the `/experimental-feature` route that must be set to true to activate the hydration. ``` curl -X PATCH 'http://127.0.0. | Low | 3/16/2026 |
| v1.38.2 | Meilisearch v1.38.2 fixes a regression introduced in Meilisearch v1.38.0 where Meilisearch could sometimes stop processing tasks after an automatic task queue cleanup performed while more tasks where being added. We recommend that all users in v1.38.0 and v1.38.1 migrate to v1.38.2. Note that the dumpless upgrade process can take up to one minute before the HTTP server becomes available when migrating from a previous v1.38 version. **Full Changelog**: https://github.com/meilisearch/meil | Low | 3/11/2026 |
| v1.38.1 | Meilisearch v1.38.1 fixes a regression we have seen in task processing, which caused the engine to stop processing tasks. ### ๐ชฒย Bug fixes - Revert, optimize, and fix task deletion. By @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6219 **Full Changelog**: https://github.com/meilisearch/meilisearch/compare/v1.38.0...v1.38.1 | Low | 3/11/2026 |
| v1.38.0 | Meilisearch v1.38 drastically improves indexing performance for embeddings, cleans up the task queue of orphan tasks and batches, ensures they are correctly deleted now, fixes issues users may encounter with OpenAI or VoyageAI when generating embeddings, and improves the tooling for generating routes in the documentation. ### **โจ Enhancement** - Embeddings: Use the latest version of hannoy with improved performances by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6184 | Low | 3/9/2026 |
| v1.37.0 | > [!IMPORTANT] > This release contains [**breaking changes**](#v137-replicated-sharding-breaking-changes) for users of the `network` experimental feature. Meilisearch v1.37 introduces [replicated sharding](#v137-replicated-sharding), removes the [`vectorStoreSetting` experimental feature](#v137-vector-store), stabilizes our new vector store for best performance, adds a [security fix](#v137-security) and [miscellaneous improvements](#v137-misc). # โจ Improvements ## <a id="v137-rep | Low | 3/2/2026 |
| v1.36.0 | Version v1.36.0 introduces an exciting update to the ranking rules to improve the engine's relevance. It's actually the first time we've made such a change since v1.0, and we're really happy about this improvement! ### โจ Enhancement - Introduce the `attributeRank` and `wordPosition` criteria by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6154, https://github.com/meilisearch/meilisearch/pull/6155, and https://github.com/meilisearch/meilisearch/pull/6164 We released | Low | 2/23/2026 |
| v1.35.1 | # ๐ฆ Bug fixes Meilisearch v1.35.1 fixes a possible task database corruption issue that would occur when using the S3 streaming snapshot method. - Users of the Community Edition do not need to upgrade as this feature is Enterprise Edition only - Affected users of the Cloud have been contacted. ## Details While snapshotting the task database, sending a task to Meilisearch could corrupt it. Index DBs were not affected, so manually rebuilding the task database fixes the corruption. | Low | 2/16/2026 |
| v1.35.0 | Meilisearch v1.35.0 contains improvements to the observability of the search performance, a breaking change to the recently introduced `POST /indexes/<index_uid>/fields` route, and other bugfixes and improvements. # ๐ Improvements ## Observe the search performance The search routes accept a new field named `showPerformanceDetails`. When set to `true`, the search response contains a performance trace, allowing the user to better understand what takes time during a search query. **im | Low | 2/2/2026 |
| v1.34.3 | ## ๐ Bug Fixes * Increase the auth store database size to 2 GiB so that we can index more keys by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6134 **Full Changelog**: https://github.com/meilisearch/meilisearch/compare/v1.34.2...v1.34.3 | Low | 1/28/2026 |
| v1.34.2 | This patch fixes an accidental breaking change in v1.34.1 where Meilisearch would not start with a configuration file if `experimental_allowed_ip_networks` was not defined. - Meilisearch Cloud users do not need to update as they were not affected by this regression - We recommend that OSS users upgrade to v1.34.2 **Full Changelog**: https://github.com/meilisearch/meilisearch/compare/v1.34.1...v1.34.2 | Low | 1/28/2026 |
| v1.34.1 | In Meilisearch v1.34.1, we released a security fix that affect web queries initiated by Meilisearch. # ๐ Security - Cloud users: no action is needed. We found no evidence of exploitation on Meilisearch Cloud and the Cloud is protected at the infrastructure level. - Open-source users: if you allow untrusted users to configure webhooks, embedders or network of machines, we recommend you update to Meilisearch v1.34.1 In Meilisearch versions v1.8 to v1.34.0, a user with an API key with * | Low | 1/27/2026 |
| v1.34.0 | # ๐ Improvements ## Easy search over your network of machines ### `useNetwork` field in `POST /indexes/{:indexUid}/search` The search query object passed in the body of `POST /indexes/{:indexUid}/search` now accepts an optional boolean `useNetwork`. When present and set to `true`, the search is executed "as-if" it was a remote federated search over all remotes in the network. That is, the following: <details> <summary>Search request</summary> ```jsonc // POST /indexes/movies | Low | 1/26/2026 |
| v1.33.1 | In Meilisearch v1.33.1, we released a security fix that affected the dump import, improvements to vector store relevance in massive databases, and a fix related to ranking scores. ### ๐ Security Fix - Cloud users: you don't need to do anything. We found no evidence of exploitation of this vulnerability on Meilisearch Cloud. - Open-source users: if you allow importing dumps from an untrusted source, we recommend you update to v1.33.1 All versions of Meilisearch before v1.33.0 are vulne | Low | 1/20/2026 |
| v1.33.0 | ### โจย Enhancement - **Add `/fields` route to get all the fields of an index** by @YoEight in https://github.com/meilisearch/meilisearch/pull/6082 Adds a new POST `/indexes/{indexUid}/fields` endpoint that returns detailed metadata about all fields in an index. This endpoint provides comprehensive information about each field's configuration, including display, search, filtering, and localization settings. - **Implement parallel cleanup of old field IDs** by @Kerollmops in https://gith | Low | 1/19/2026 |
| v1.32.2 | ## ๐ Bug fixes * Do not panic when doing a dumpless upgrade on empty indexes with configured embeddings by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6102 **Full Changelog**: https://github.com/meilisearch/meilisearch/compare/v1.32.1...v1.32.2 | Low | 1/15/2026 |
| v1.32.1 | ## ๐ Improvements ### Skip cleaning up the field-ID-based databases Introduce a `MEILI_EXPERIMENTAL_DISABLE_FID_BASED_DATABASES_CLEANUP` env var to opt out of the field ID-based database cleanup when upgrading a Meilisearch from versions inferior to 1.32.0. > by @ManyTheFish in https://github.com/meilisearch/meilisearch/pull/6096 **Full Changelog**: https://github.com/meilisearch/meilisearch/compare/v1.32.0...v1.32.1 | Low | 1/14/2026 |
| v1.32.0 | ## ๐ Improvements ### Log Search performance trace Introduces comprehensive progress tracking and logging for search operations in Meilisearch. It adds detailed timing information for each step of the search process, enabling better observability and performance analysis. > by @ManyTheFish in https://github.com/meilisearch/meilisearch/pull/6072 ### Extract document operations from payloads in parallel We accelerate document indexing by processing a large number of tasks in batches or | Low | 1/12/2026 |
| v1.31.0 | # ๐ Improvements ## ๐๏ธ [Enterprise Edition] Make the S3-streaming snapshots an Enterprise Edition feature The recently introduced S3-streaming snapshots feature is now available as an Enterprise Edition feature. From now on, you'll need a license to use this feature when using Meilisearch as a self-hosted solution. Note that this version introduces a breaking change regarding the S3-streaming snapshot feature, which is no longer available in the Community Edition; however, on-disk snapsh | Low | 12/22/2025 |
| v1.30.1 | # What's Changed ## ๐ Bug Fixes ### Fix task attribution during index swap to prevent cross-index task loss by @YoEight in https://github.com/meilisearch/meilisearch/pull/6059 This change fixes the parenting of the tasks when doing an index swap. ### Hotfix: log a warning when FieldidsWeightsMap is missing entry by @ManyTheFish in https://github.com/meilisearch/meilisearch/pull/6064 This hotfix avoids the encounter of following error during a search request: ```json { "message": | Low | 12/18/2025 |
| v1.30.0 | # ๐ Improvements ## Up and down network scaling Since [v1.19.0](https://github.com/meilisearch/meilisearch/releases/tag/v1.19.0), Meilisearch [Enterprise Edition](https://github.com/meilisearch/meilisearch/blob/main/README.md#-enterprise-edition-ee) allows the automatic sharding of documents over multiple Meilisearch instances, enabling scaling to more documents than a single instance would accommodate. Meilisearch v1.30.0 adds the ability to modify the number of participants in shard | Low | 12/15/2025 |
| v1.29.0 | ## Build compatibility note The git binary must now be present at build time to populate the `commitSha1` field of the `/version` field. This change was made for build performance reasons. by @dureuill in https://github.com/meilisearch/meilisearch/pull/6030 ## ๐ 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 indexin | Low | 12/8/2025 |
| v1.28.2 | 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](https://www.meilisearch.com/docs/reference/api/tasks#query-parameters-3) or upgrading to at least v1.28.2. ### ๐ Bug fixes * Limit | Low | 12/3/2025 |
| v1.28.1 | 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. ### ๐ Bug Fixes * Fix sort on /documents endpoint when field has no values by @EclipseAditya in https://github.com/meilisearch/meilisearch/pull/6016 * Fix release CI after we introduced the enterprise edit | Low | 12/1/2025 |
| v1.28.0 | 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](https://github.com/meilisearch/meilisearch/blob/main/LICENSE-EE), 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-enterprise`](https://hub.docker.com/r/getmeili/meili | Low | 12/1/2025 |
| v1.27.0 | 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. ### โ๏ธ Compatibility support - Update macOS platform version in the CI by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6001 | Low | 11/24/2025 |
| v1.26.0 | # โจ 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 ro | Low | 11/17/2025 |
| v1.25.0 | ## โจ Enhancement ### ๐ฌ [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](https://github.com/orgs/meilisearch/discussions/866). ### ๐ฌ [Experimental]: Upload snapshot tarballs to S3 by @Kerollmops in #5948 Add the ability to upload snapshots directly to S3. It has many advant | Low | 11/10/2025 |
| v1.24.0 | 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 | Low | 10/20/2025 |
| v1.23.0 | 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 | Low | 10/13/2025 |
| v1.22.3 | This version contains a minor fix that affects remote federated search users. If you are not a remote federated search user, it is not necessary to migrate from v1.22.x. # ๐ฆ Bugfixes - v1.22.2 raised the remote federated search timeout for waiting nodes from 5 to 30s. This version makes it configurable by setting the environment variable `MEILI_EXPERIMENTAL_REMOTE_SEARCH_TIMEOUT_SECONDS` to a positive integer value. Please note that no CLI flag or configuration entry is available. By @dur | Low | 10/7/2025 |
| v1.22.2 | ## ๐ฆ Bugfixes * Remote federated search would declare remotes as "timeout'd" after 5s. This timeout was raised to 30s to accomodate some search configurations. By @dureuill in https://github.com/meilisearch/meilisearch/pull/5919 | Low | 9/30/2025 |
| v1.22.1 | ## ๐ Bug Fixes * use the latest version of zerometry that supports collection, lines and multi-lines (#5907) @irevoire * Delete oldest tasks first (#5906) @dureuill โค๏ธ Huge thanks to our contributors: @dureuill and @irevoire. | Low | 9/25/2025 |
| v1.22.0 | ## :rocket: Enhancements * Introduce a new geo backend to store geojson and filter on polygon 1. Make the `_geojson` field filterable 2. Then send your documents with a `_geojson` field filled with a valid [geojson](https://datatracker.ietf.org/doc/html/rfc7946) 3. Filter your documents with the new `_geoPolygon` filter, or the old `_geoBoudingBox` and `_geoPoints` filter ## :bug: Bug Fixes * Document template: Correctly render when indexing first item in array by @dureui | Low | 9/24/2025 |
| v1.21.0 | ## ๐ Enhancements * Introduce a new vector store backend for better performance, especially if using the binary quantization 1. Enable the new `vectorStoreSetting` experimental feature 2. Then change the `vectorSetting` index setting to `"experimental"` for the indexes where you want to try the new vector store * Done in #5767 by @Kerollmops * Add Persian support (update charabia to v0.9.7) (#5848) @ManyTheFish ## ๐ Bug Fixes * Observing the progress trace during index | Low | 9/15/2025 |
| v1.20.0 | ## ๐ Enhancements * Display the progressTrace in in-progress batches (#5858) @shreeup ## ๐ Bug Fixes * Send the version when returning prometheus metrics (#5876) @irevoire ## ๐ Security * Bump tracing-subscriber from 0.3.19 to 0.3.20 (#5869) @[dependabot[bot]](https://github.com/apps/dependabot) ## โ๏ธ Maintenance/misc * Fix scheduled CI failure (#5856) @arithmeticmean โค๏ธ Huge thanks to our contributors: @ManyTheFish, @arithmeticmean, @curquiza, @dureuill, @irevoire, | Low | 9/8/2025 |
| v1.19.1 | ## ๐ Performance improvements ### Enhance hybrid search with filter performances In previous versions of Meilisearch, mixing hybrid search with filters, as shown below, could multiply the search time by hundreds. ```json { "q": "hello world", "limit": 100, "filter": "tag=science" "hybrid": { "semanticRatio": 0.5, "embedder": "default" } } ``` Meilisearch will now directly compute the semantic distance with the filtered candidates if only a few candidates co | Low | 8/26/2025 |
| v1.19.0 | ## ๐ Enhancements ## Automatically shard documents to scale horizontally Meilisearch can now automatically distribute documents between multiple instances using the new **sharding** feature. Find a guide on implementing sharding in [the documentation](https://www.meilisearch.com/docs/learn/multi_search/implement_sharding). > [!NOTE] > Sharding is an advanced feature available exclusively in **Meilisearch Enterprise Edition (EE)**. > > The EE features are governed by the [**Bus | Low | 8/25/2025 |
| v1.18.0 | ## ๐ Enhancements * Return `queryVector` in the search response when using `retrieveVectors` (#5778) @Mubelotix * Allow retrieving documents with vectors from specific embedders (#5741) @Mubelotix * Support renaming indexes using the API (#5829) @irevoire โค๏ธ Huge thanks to our contributors: @Kerollmops, @Mubelotix, @irevoire and @qdequele. | Low | 8/18/2025 |
| v1.17.1 | ## ๐ Enhancements * Publish OpenAPI file to release assets (#5823) @curquiza ## โ๏ธ Maintenance/misc * Fix update-cargo-version CI (#5831) @curquiza | Low | 8/12/2025 |
| v1.17.0 | > [!NOTE] > Want to make your search feel more natural? Try our new [**chat completions** route](https://www.meilisearch.com/docs/learn/chat/getting_started_with_chat) and turn your queries into conversations. Easy to set up, works with your favorite LLMs. ### Enhancements - Support Webhook API by @Mubelotix in https://github.com/meilisearch/meilisearch/pull/5785 Check the [in progress documentation](https://github.com/meilisearch/documentation/pull/3336/files) (PR merged soon) - Opti | Low | 8/12/2025 |
| v1.16.0 | Meilisearch v1.16 introduces two main features: multimodal embeddings and a new `/export` route. Multimodal embeddings use AI-powered search to index images in addition to textual documents. The `/export` route simplifies migrating from a local Meilisearch instance to Meilisearch Cloud. ๐งฐ All official Meilisearch integrations (including SDKs, clients, and other tools) are compatible with this Meilisearch release. Integration deployment happens between 4 to 48 hours after a new version become | Low | 8/4/2025 |
| v1.16.0-rc.5 | > [!WARNING] > Since this is a release candidate (RC), we do NOT recommend using it in a production environment. Is something not working as expected? We welcome [bug reports](https://github.com/meilisearch/meilisearch/issues/new/choose) and [feedback about new features](https://github.com/meilisearch/product/discussions). ## What's Changed * Update Prometheus chat metrics names to follow the name convention by @nicolasvienot in https://github.com/meilisearch/meilisearch/pull/5787 * Update | Low | 8/1/2025 |
| v1.16.0-rc.4 | > [!WARNING] > Since this is a release candidate (RC), we do NOT recommend using it in a production environment. Is something not working as expected? We welcome [bug reports](https://github.com/meilisearch/meilisearch/issues/new/choose) and [feedback about new features](https://github.com/meilisearch/product/discussions). ## ๐ Bugfixes * Fix API keys when using dumpless upgrade to v1.16.0 by @Mubelotix in https://github.com/meilisearch/meilisearch/pull/5780 * fix: index chat setting | Low | 7/28/2025 |
| v1.16.0-rc.3 | > [!WARNING] > Since this is a release candidate (RC), we do NOT recommend using it in a production environment. Is something not working as expected? We welcome [bug reports](https://github.com/meilisearch/meilisearch/issues/new/choose) and [feedback about new features](https://github.com/meilisearch/product/discussions). ## What's Changed * Use the edition 2024 documents indexer in the dumps by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/5762 * Regenerate all fragments | Low | 7/22/2025 |
| v1.16.0-rc.2 | > [!WARNING] > Since this is a release candidate (RC), we do NOT recommend using it in a production environment. Is something not working as expected? We welcome [bug reports](https://github.com/meilisearch/meilisearch/issues/new/choose) and [feedback about new features](https://github.com/meilisearch/product/discussions). ## What's Changed * Various fixes on the export route by @Mubelotix in https://github.com/meilisearch/meilisearch/pull/5753 * Fix: Preserve order of searchable attribute | Low | 7/18/2025 |
| v1.16.0-rc.1 | > [!WARNING] > Since this is a release candidate (RC), we do NOT recommend using it in a production environment. Is something not working as expected? We welcome [bug reports](https://github.com/meilisearch/meilisearch/issues/new/choose) and [feedback about new features](https://github.com/meilisearch/product/discussions). # ๐ฆ Bug fixes * Fix the dumpless upgrade to v1.16 following the database changes introduced by the multimodal embedder feature, by @dureuill in https://github.com/meil | Low | 7/10/2025 |
