feat(container): update image docker.io/getmeili/meilisearch (v1.35.0 → v1.36.0)#3043
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feat(container): update image docker.io/getmeili/meilisearch (v1.35.0 → v1.36.0)#3043bot-akira[bot] wants to merge 1 commit intomainfrom
bot-akira[bot] wants to merge 1 commit intomainfrom
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--- kubernetes/apps/default/karakeep/app Kustomization: default/karakeep HelmRelease: default/karakeep
+++ kubernetes/apps/default/karakeep/app Kustomization: default/karakeep HelmRelease: default/karakeep
@@ -99,13 +99,13 @@
secretKeyRef:
key: MEILI_MASTER_KEY
name: karakeep-secret
MEILI_NO_ANALYTICS: true
image:
repository: docker.io/getmeili/meilisearch
- tag: v1.35.0
+ tag: v1.36.0
resources:
limits:
memory: 2Gi
requests:
cpu: 10m
pod: |
Contributor
Author
--- HelmRelease: default/karakeep Deployment: default/karakeep-meilisearch
+++ HelmRelease: default/karakeep Deployment: default/karakeep-meilisearch
@@ -60,13 +60,13 @@
valueFrom:
secretKeyRef:
key: MEILI_MASTER_KEY
name: karakeep-secret
- name: MEILI_NO_ANALYTICS
value: 'true'
- image: docker.io/getmeili/meilisearch:v1.35.0
+ image: docker.io/getmeili/meilisearch:v1.36.0
name: app
resources:
limits:
memory: 2Gi
requests:
cpu: 10m |
|
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… → v1.36.0) Signed-off-by: bot-akira[bot] <159718293+bot-akira[bot]@users.noreply.github.com>
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This PR contains the following updates:
v1.35.0→v1.36.0Warning
Some dependencies could not be looked up. Check the Dependency Dashboard for more information.
Release Notes
meilisearch/meilisearch (docker.io/getmeili/meilisearch)
v1.36.0: 🐙Compare Source
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!
✨ Enhancement
Introduce the
attributeRankandwordPositioncriteria by @Kerollmops in #6154, #6155, and #6164We released two new ranking rules that Meilisearch had already been using internally for the
attributeone, which is basically both ranking rules applied one after the other:attributeRank: A document is considered better if the query words match in a higher searchable attribute. It ignores the position of the query words in this attribute.wordPosition: A document is considered better if the query words match closer to the beginning of an attribute. The attribute rank is ignored by this rule.We continue our policy of migrating everyone to use a homemade HNSW by introducing a new dumpless upgrade step that migrates index uses the old annoy vector store to the new Hannoy one. Changing the vector store backend affects the ranking score. This step can take a couple of minutes when the number of embeddings is high, and we recommend changing the vector store backend beforehand to gain more control if needed. To do so, you must enable the
vectorStoreSettingexperimental feature and set thevectorStoreroot setting toexperimental.🪲 Bug fixes
attributesToSearchOnon an empty index by @zen-zap in #5944🔒 Security
🔩 Miscellaneous
❤️ Thanks to @zen-zap for contributing to this release!
v1.35.1Compare Source
🦋 Bug fixes
Meilisearch v1.35.1 fixes a possible task database corruption issue that would occur when using the S3 streaming snapshot method.
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.
By @dureuill in #6160
Full Changelog: meilisearch/meilisearch@v1.35.0...v1.35.1
Configuration
📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).
🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about these updates again.
This PR has been generated by Renovate Bot.