Meilisearch: v1.32.2 🐟
Meilisearch v1.32.2. Source highlight: Do not panic when doing a dumpless upgrade on empty indexes with configured embeddings
meilisearch release archive — Page 2
85 tracked entries. Older history is imported progressively; see source coverage.
Meilisearch: v1.32.1 🐟
Meilisearch v1.32.1. Source highlight: Skip cleaning up the field-ID-based databases
Meilisearch: v1.32.0 🐟
Meilisearch v1.32.0. Source highlight: Log Search performance trace
Meilisearch: v1.31.0 🦃
Meilisearch v1.31.0. Source highlight: 🗄️ [Enterprise Edition] Make the S3-streaming snapshots an Enterprise Edition feature
Meilisearch: v1.30.1 🐸
Meilisearch v1.30.1. Source highlight: Fix task attribution during index swap to prevent cross-index task loss
Meilisearch: v1.30.0 🐸
Meilisearch v1.30.0. Source highlight: Up and down network scaling
Meilisearch: v1.29.0 🐑
Meilisearch v1.29.0. Source highlight: Build compatibility note
Meilisearch: v1.28.2 🐩
Meilisearch v1.28.2. Source highlight: 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 su
Meilisearch: v1.28.1 🐩
Meilisearch v1.28.1. Source highlight: 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.
Meilisearch: v1.28.0 🐩
Meilisearch v1.28.0. Source highlight: 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. Dock
Meilisearch: v1.27.0 🦮
Meilisearch v1.27.0. Source highlight: 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 upload
Meilisearch: v1.26.0 🐛
Meilisearch v1.26.0. Source highlight: Allow to attach custom metadata in the document addition or update tasks
Meilisearch: v1.25.0 🐈⬛
Meilisearch v1.25.0. Source highlight: 🔬 [Experimental]: Search personalization by @ManyTheFish in #5775
Meilisearch: v1.24.0 🦞
Meilisearch v1.24.0. Source highlight: 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. Th
Meilisearch: v1.23.0 🐘
Meilisearch v1.23.0. Source highlight: 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 env
Meilisearch: v1.22.3 🐦🔥
Meilisearch v1.22.3. Source highlight: 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.
Meilisearch: v1.22.2 🐦🔥
Meilisearch v1.22.2. Source highlight: 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
Meilisearch v1.22.1 — Release Notes & Engineering Impact
Meilisearch v1.22.1. Source highlight: use the latest version of zerometry that supports collection, lines and multi-lines (#5907) @irevoire
Meilisearch: v1.22.0 🐦🔥
Meilisearch v1.22.0. Source highlight: :rocket: Enhancements
Meilisearch: v1.21.0 🐷
Meilisearch v1.21.0. Source highlight: Introduce a new vector store backend for better performance, especially if using the binary quantization
Meilisearch: v1.20.0 🦟
Meilisearch v1.20.0. Source highlight: Display the progressTrace in in-progress batches (#5858) @shreeup
Meilisearch: v1.19.1 🪸
Meilisearch v1.19.1. Source highlight: 🐛 Performance improvements
Meilisearch: v1.19.0 🪸
Meilisearch v1.19.0. Source highlight: Automatically shard documents to scale horizontally
Meilisearch: v1.18.0 🕷️
Meilisearch v1.18.0. Source highlight: Return `queryVector` in the search response when using `retrieveVectors` (#5778) @Mubelotix
Meilisearch: v1.17.1 🐀
Meilisearch v1.17.1. Source highlight: Publish OpenAPI file to release assets (#5823) @curquiza
Meilisearch: v1.17.0 🐀
Meilisearch v1.17.0. Source highlight: Want to make your search feel more natural? Try our new **chat completions** route and turn your queries into conversations. Easy to set up, works with your favorite LLMs.
Meilisearch: v1.16.0 🦚
Meilisearch v1.16.0. Source highlight: 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.
Meilisearch: v1.15.2 🦘
Meilisearch v1.15.2. Source highlight: This patch release introduces a major fix and some minor fixes.
Meilisearch: v1.15.1 🦘
Meilisearch v1.15.1. Source highlight: Meilisearch v1.15.1 adds new experimental conversational features and enables LLM-driven chat features.
Meilisearch: v1.15.0 🦘
Meilisearch v1.15.0. Source highlight: Meilisearch v1.15 adds a new typo tolerance setting, allowing you to disable typo tolerance for numbers. It also enables comparison operators for string filters.
Meilisearch: v1.14.0 🦫
Meilisearch v1.14.0. Source highlight: Meilisearch v1.14 gives more granular control over which parts of filters you can disable for indexing performance optimization. This release also includes composite embedders, which can improve embedding generation during search and indexing, and a new route to retrieve multiple documents by their
Meilisearch: v1.13.3 🕊️
Meilisearch v1.13.3. Source highlight: Bump mini-dashboard v0.2.18
Meilisearch: v1.13.2 🕊️
Meilisearch v1.13.2. Source highlight: Support dumpless upgrade for all v1.13 patches
Meilisearch: v1.13.1 🕊️
Meilisearch v1.13.1. Source highlight: Hotfix typo tolerance bug
Meilisearch: v1.13.0 🕊️
Meilisearch v1.13.0. Source highlight: Meilisearch v1.13 stabilizes AI-powered search integration! 🎉 This release also introduces two new experimental features: upgrading to new Meilisearch releases without generating a dump and making federated requests across multiple Meilisearch instances.