chore(deps): update container image getmeili/meilisearch to v1.13.0 #959
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This PR contains the following updates:
v1.12.8
->v1.13.0
Release Notes
meilisearch/meilisearch (getmeili/meilisearch)
v1.13.0
: 🕊️Compare Source
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.
🧰 All official Meilisearch integrations (including SDKs, clients, and other tools) are compatible with this Meilisearch release. Integration deployment takes 4 to 48 hours after a new version becomes available.
Some SDKs might not include all new features. Consult the project repository for detailed information. Is a feature you need missing from your chosen SDK? Create an issue letting us know you need it, or, for open-source karma points, open a PR implementing it (we'll love you for that ❤️).
New features and updates 🔥
AI-powered search and vector store stabilization
With v1.13, AI-powered search is available to all users by default and no longer requires manual activation.
Breaking Changes
vectorStore
is no longer an accepted value for the/experimental-features
route/api/embed
or/api/embeddings
invalid_embedder
has been split intoinvalid_search_embedder
andinvalid_similar_embedder
. These codes are returned when theembedder
parameter of a request to/search
,/multi-search
or/similar
specifies a non-existing embedder or is not a stringinvalid_hybrid_query
has been renamed toinvalid_search_hybrid_query
. It is returned when thehybrid
parameter contains unknown keys or is not eithernull
or an objectDone by @dureuill in https://github.com/meilisearch/meilisearch/pull/5232 & https://github.com/meilisearch/meilisearch/pull/5234
Experimental feature: Dumpless upgrades
Use
--experimental-dumpless-upgrade
after updating the Meilisearch binary to migrate to a new release:This faster and more efficient process does not require you to generate a dump and pass it to Meilisearch when upgrading to a new release.
Read more about it on the dedicated product discussion.
Done by @irevoire and @dureuill in https://github.com/meilisearch/meilisearch/pull/5264
Experimental feature: Remote federated search requests
Use remote federated search requests together with the
/multi-search
route to query multiple Meilisearch instances simultaneously. This is particularly useful when handling very large databases.First, use the
/experimental-features
route to enablenetwork
:Next, set up your network of Meilisearch instances with a call to
PATCH /network
configuring oneself
and multipleremotes
:Repeat this process with every instance in your network, then add documents. Do not send the same documents to different instances.
Finally, make a
/multi-search
query with the newfederationOptions.remote
:Find more information about this feature on the public usage page
Other improvements
GITHUB_TOKEN
authentication in installation script by @Sherlouk in https://github.com/meilisearch/meilisearch/pull/5216usedDatabaseSize
field on the/stats
route by @ManyTheFish in https://github.com/meilisearch/meilisearch/pull/5314/stats
route by @ManyTheFish in https://github.com/meilisearch/meilisearch/pull/5341Fixes 🐞
Misc
idna
severity issue by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/5218Extend::extend
by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/5221documentTemplateMaxBytes
parameter by @dureuill in https://github.com/meilisearch/meilisearch/pull/5306❤️ Thanks again to our external contributors:
Configuration
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🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.
♻ Rebasing: Whenever PR is behind base branch, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about these updates again.
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