[Snyk] Upgrade meilisearch from 0.35.1 to 0.42.0 #3
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Snyk has created this PR to upgrade meilisearch from 0.35.1 to 0.42.0.
ℹ️ Keep your dependencies up-to-date. This makes it easier to fix existing vulnerabilities and to more quickly identify and fix newly disclosed vulnerabilities when they affect your project.
The recommended version is 8 versions ahead of your current version.
The recommended version was released on a month ago.
Release notes
Package name: meilisearch
This version introduces features released on Meilisearch v1.10.0 🎉
Check out the changelog of Meilisearch v1.10.0 for more information on the changes.
More details here
query
,inputField
,inputType
,pathToEmbeddings
andembeddingObject
.request
andresponse
headers
🚀 Enhancements
Hybrid search improvements (#1692) @ mdubus
url
parameter to the OpenAI embedderdimensions
is now available as an optional parameter forollama
embedders.Add federated search parameters (#1689) @ flevi29
locale
search parameter (#1693) @ flevi29⚙️ Maintenance/misc
Thanks again to @ amit-ksh, @ brunoocasali, @ curquiza, @ flevi29, @ mdubus, @ meili-bors[bot] ! 🎉
This version introduces features released on Meilisearch v1.9.0 🎉
Check out the changelog of Meilisearch v1.9.0 for more information on the changes.
🚀 Enhancements
rankingScoreThreshold
insearch
(#1669) @ the-sinner and insearchGet
(#1673) @ mdubus🔒 Security
⚙️ Maintenance/misc
Thanks again to @ brunoocasali, @ curquiza, @ flevi29, @ mdubus, and @ the-sinner! 🎉
💥 Breaking Changes
generateTenantToken
you should use it withawait
:before:
⚙️ Maintenance/misc
Thanks again to @ brunoocasali, @ mdubus! 🎉
🚀 Enhancements
null
to Embedder type (#1646) @ amit-kshOtherwise, you'll face errors like
Module "crypto" has been externalized for browser compatibility
.⚙️ Maintenance/misc
Thanks again to @ amit-ksh, @ brunoocasali, @ curquiza, @ flevi29, @ mdubus! 🎉
This version introduces features released on Meilisearch v1.7.0 🎉
Check out the changelog of Meilisearch v1.7.0 for more information on the changes.
scoreDetails
feature is not experimental anymore. You can directly useshowRankingScoreDetails
during a search without activating the experimental feature 🎉🚀 Enhancements
dimensions
field is available to the OpenAi model (#1631) @ nicolasvienot🧪 This is a beta version, preparing for Meilisearch v1.7.0, based on v1.7.0-rc.1
This version introduces features released on Meilisearch v1.7.0-rc.1 🎉
Check out the changelog of Meilisearch v1.7.0-rc.1 for more information on the changes.
🚀 Enhancements
dimensions
for OpenAI embedders (meilisearch/meilisearch#4394) @ nicolasvienotscoreDetails
experimental feature (meilisearch/meilisearch#4359) @ nicolasvienotThanks again to @ curquiza, @ flevi29, @ reijovosu and @ nicolasvienot! 🎉
This version introduces features released on Meilisearch v1.6.0 🎉
Check out the changelog of Meilisearch v1.6.0 for more information on the changes.
🚀 Enhancements
proximityPrecision
(#1619) mdubusMeiliSearchError
(#1607) amit-ksh🧪 Experimental enhancement - Hybrid and vector search
vectorStore
experimental feature to use itembedders
settings (#1623) mdubushybrid
parameter during search (#1623) mdubus⚙️ Maintenance/misc
Thanks again to @ amit-ksh, @ curquiza, @ flevi29, @ mdubus, @ meili-bors[bot] ! 🎉
This version introduces features released on Meilisearch v1.5.0 🎉
Check out the changelog of Meilisearch v1.5.0 for more information on the changes.
🚀 Enhancements
createSnapshot()
to trigger snapshot creation. Similar to the already existingcreateDump()
for dumps (#1603) @ brunoocasali🚀 Enhancements
Thanks again to @ Dhoni77, @ amit-ksh, @ curquiza, @ jonespen, @ meili-bors[bot] ! 🎉
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