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>
4649: Don't store the vectors in the documents database r=dureuill a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4607
## What does this PR do?
- Ensure that anything falling under `_vectors` is NOT searchable, filterable or sortable
- [x] per embedder, add a roaring bitmap of documents that provide "userProvided" embeddings
- [x] in the indexing process in extract_vector_points, set the bit corresponding to the document depending on the "userProvided" subfield in the _vectors field.
- [x] in the document DB in typed chunks, when writing the _vectors field, remove all keys corresponding to an embedder
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
