When adding a new setting, there are several important points that can be easily forgotten.
This PR adds a small reminder list of some of these points.
4293: Update SDK test dependencies r=curquiza a=curquiza
Replace dependabot updates
The changes are really un-impactful for the engine team velocity because is about a CI
- that does not run during release deployment
- that does not run to merge a PR
It's only a weekly scheduled CI to check the breaking we introduced in the integrations.
I updated the dependencies based on what we do on the integration CIs
For example for dart, I looked at what we have in the [Dart CI](63fd758882/.github/workflows/tests.yml (L16-L54)) and I updated our CI in this repo accordingly. I did the same for each repository. This ensures we test the same things.
Co-authored-by: curquiza <clementine@meilisearch.com>
4295: fix compilation warnings on main r=curquiza a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4292
## What does this PR do?
- Removed unused imports
#4294 fixes the issue for the release v1.6
Co-authored-by: Tamo <tamo@meilisearch.com>
4262: Update version for the next release (v1.6.0) in Cargo.toml r=curquiza a=meili-bot
⚠️ This PR is automatically generated. Check the new version is the expected one and Cargo.lock has been updated before merging.
Co-authored-by: curquiza <curquiza@users.noreply.github.com>
4257: Change proximity precision settings r=dureuill a=ManyTheFish
- [x] Add proximity_precision value into the analytics
- [x] Change the naming of `attributeScale` and `wordScale` into `byAttribute` and `byWord`
- [x] Remove proximityPrecision from the experimental feature
Co-authored-by: ManyTheFish <many@meilisearch.com>
Co-authored-by: Many the fish <many@meilisearch.com>
4226: Hybrid search r=dureuill a=dureuill
Allows to perform hybrid search requests that combine the results of semantic and keyword search and automatically generate embeddings.
## How to use
See [feature description](https://meilisearch.notion.site/v1-6-Hybrid-Search-Embedders-ea42c82f90cc4bc0be1eeb917c1118c8)
## Changes
- work is based on #4213
- milli::new search now takes an input universe directly, rather than computing it from a filter. This adds flexibility to require results on a subset of documents
- vector search is now a regular ranking rule (akin to sort and geosort) and reports its score as a ScoreDetail
- separate keyword search and vector search functions, vector search now respects (geo)sort ranking rules
- add automatic embedding
- add hybrid search
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: ManyTheFish <many@meilisearch.com>
- DistributionShift in Search object (to be set from model in embed?)
- Fix issue where embedder index wasn't computed at search time
- Accept as default embedder either the "default" one, or the only embedder when there is only one
4254: Bring back v1.5.1 changes into main r=ManyTheFish a=Kerollmops
This pull request brings back changes from the _release-v1.5.1_ branch into _main_.
Co-authored-by: ManyTheFish <many@meilisearch.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: curquiza <curquiza@users.noreply.github.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
