4930: Return `UserError::InvalidDocumentId` for primary keys with a length greater than 512 bytes r=curquiza a=flevi29
# Pull Request
## Related issue
Fixes#4843
## PR checklist
Please check if your PR fulfills the following requirements:
- [x] Does this PR fix an existing issue, or have you listed the changes applied in the PR description (and why they are needed)?
- [x] Have you read the contributing guidelines?
- [x] Have you made sure that the title is accurate and descriptive of the changes?
Thank you so much for contributing to Meilisearch!
Co-authored-by: F. Levi <55688616+flevi29@users.noreply.github.com>
4945: Add swedish in default pipelines r=dureuill a=ManyTheFish
# Summary
## Fix Swedish support
In Swedish the characters `å`/`ä`/`ö` are completely different than `a` or `o` and should not be normalized as the same character.
because the Swedish specialized pipeline was not activated by default, these characters were normalized even with the settings:
```json
{
"localizedAttributes": [ { "locales": ["swe"], "attributePatterns": ["*"] } ]
}
```
## Update Charabia adding German support
German segmentation will now be activated using the setting:
```json
{
"localizedAttributes": [ { "locales": ["deu"], "attributePatterns": ["*"] } ]
}
```
# TODO
- [x] Activate Swedish Pipeline
- [x] Add a test to avoid future regressions
- [x] Update Charabia
Co-authored-by: ManyTheFish <many@meilisearch.com>
4938: Remove default embedder r=ManyTheFish a=dureuill
# Pull Request
## Related issue
Fixes#4738
## What does this PR do?
[See public usage](https://meilisearch.notion.site/v1-11-AI-search-changes-0e37727193884a70999f254fa953ce6e#1044b06b651f80edb9d4ef6dc367bad0)
- Remove `hybrid.embedder` boolean from analytics because embedder is now mandatory and so the boolean would always be `true`
- Rework search kind so that a search without query but with vector is a vector search regardless of (non-zero) semantic ratio
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
4939: Introduce the `STARTS WITH` filter operator r=irevoire a=Kerollmops
This PR fixes#4872 by introducing the `STARTS WITH` filter operator and gating it under the _contains filter_ experimental feature along with the `CONTAINS` one. I also updated [the experimental feature discussion page](https://github.com/orgs/meilisearch/discussions/763).
Co-authored-by: Clément Renault <clement@meilisearch.com>
4929: Add facets support to federated r=Kerollmops a=dureuill
# Pull Request
## Related issue
- Fixes#4932 (sprint issue)
- Fixes #4913 (user-opened issue)
## What does this PR do?
See [public usage](https://meilisearch.notion.site/v1-11-Federated-search-59b30e03383c40729d7541a3dffb0069)
> [!CAUTION]
> This PR introduces a 🚨**breaking change**🚨: `queries.facets` when `federation` is present and non-`null` is now **an error**
### Implementation standpoint:
- Facet distribution: fix issue where truncated facet distribution would have a wrong order
- facet distribution: implement Display for OrderBy
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
4888: bring back v1.10.0 into main r=Kerollmops a=ManyTheFish
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: ManyTheFish <many@meilisearch.com>
4731: Fix the missing geo distance when one or both of the lat / lng are string r=irevoire a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4193
## What does this PR do?
- Properly extract the lat / lng when one or both of them are string
- Add a test
Co-authored-by: Tamo <tamo@meilisearch.com>
4693: Introduce distinct attributes at search time r=irevoire a=Kerollmops
This PR fixes#4611.
### To Do
- [x] Remove the `distinguishableAttributes` settings (not even a commit about that).
- [x] Use the `filterableAttributes` to be able to use the `distinct` parameter at search.
- [x] Work on the errors and make tests.
Co-authored-by: Clément Renault <clement@meilisearch.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
