Releases: meilisearch/meilisearch-python
Releases · meilisearch/meilisearch-python
v0.33.0 🐍
v0.32.0 🐍
v0.31.6 🐍
🚀 Enhancements
- Compatibility of
embedder
settings with Meilisearch v1.11 (#1018) @sanders41 & @dureuill - Supports
rankingScoreThreshold
search parameter (#1008) @aweidner - Federated Search Addition (#1013) @MuddyHope
⚙️ Maintenance/misc
Thanks again to @MuddyHope, @aweidner, @curquiza, @dureuill and @sanders41! 🎉
v0.31.5 🐍
v0.31.4 🐍
🐛 Bug Fixes
- Fixed a typing mistake in /meilisearch/index.py:1084 (#993) @Nikolas-Lehto
⚙️ Maintenance/misc
- Fix flaky test (#978) @sanders41
- Bump certifi from 2023.11.17 to 2024.7.4 in the pip group (#991)
- Remove huggingface setting in tests to fix flakiyness (#994) @sanders41
🔒 Security
- Bump certifi from 2023.11.17 to 2024.7.4 in the pip group (#991)
Thanks again to @Nikolas-Lehto, and @sanders41! 🎉
v0.31.3 🐍
v0.31.2 🐍
🚀 Enhancements
- Added search cutoff ms settings (#964) @the-sinner
- Add proximityPrecision setting (#971) @the-sinner
⚙️ Maintenance/misc
- Typo fix in get_document doc comment. (#960) @alenpaulvarghese
- Fix document and vector fixture (#963) @sanders41
- Add tests and docs about showRankingScoreDetails (#965) @the-sinner
- Add tests for displaying ranking score in search hits (#966) @the-sinner
Thanks again to @alenpaulvarghese, @sanders41 and @the-sinner! 🎉
v0.31.1 🐍
🐛 Bug Fixes
- Fix reported type of decorator (#956) @sanders41
⚙️ Maintenance/misc
- Changes related to the next Meilisearch release (v1.8.0) (#947)
🔒 Security
Thanks again to @curquiza, and @sanders41! 🎉
v0.31.0 🐍
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.
⚠️ Breaking changes
- Related to the experimental
vectorStore
feature:dimensions
field is now required when using OpenAI models (#928) @sanders41
🐛 Bug Fixes
- Make embedders deseralize to correct type (#927) sanders41
⚙️ Maintenance/misc
v0.30.0 🐍
⚠️ Breaking changes
This release is only breaking for users that are using the experimental vector search feature. This release makes vector search compatable with the changes made in Meilisearch v1.6.
🚀 Enhancements
Thanks again to @CaroFG, @meili-bors[bot], and @sanders41! 🎉