4576: increase the default search time budget from 150ms to 1.5s r=ManyTheFish a=irevoire
# Pull Request
## Related issue
Fixes#4575
## What does this PR do?
- increase the default search time budget from 150ms to 1.5s
Co-authored-by: Tamo <tamo@meilisearch.com>
4581: Always show facet numbers in alpha order in the facet distribution r=ManyTheFish a=Kerollmops
This PR fixes#4559 by making sure that the number facets (facets that come from numbers from the documents) are always displayed in alpha order, even when there is a small amount to display.
The issue was due to some algorithms executed when the number of facet values to display was small. We can see that now, facet values are always displayed correctly.
```json
"facetDistribution": {
"release_year": {
"2010": 1,
"2011": 1,
"2012": 1,
"2013": 1,
"2014": 1,
"2015": 1,
"2016": 1,
"2017": 1,
"2018": 1,
"2019": 19,
"2020": 1,
"2021": 1,
"2022": 1,
"2023": 1,
"2024": 1,
"2025": 1
}
}
```
Co-authored-by: Clément Renault <clement@meilisearch.com>
4580: Update the search logs r=Kerollmops a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4579
## What does this PR do?
- Update the debug implementation of the search query and search results so it’s way smaller and doesn’t display useless information
Co-authored-by: Tamo <tamo@meilisearch.com>
4566: Bring back changes from v1.7.6 to main r=irevoire a=dureuill
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: dureuill <dureuill@users.noreply.github.com>
4560: Bring back change from v1.7.5 to main r=curquiza a=irevoire
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: irevoire <irevoire@users.noreply.github.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
4554: Update version for the next release (v1.7.5) 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: irevoire <irevoire@users.noreply.github.com>
4548: v1.8 hybrid search changes r=dureuill a=dureuill
Implements the search changes from the [usage page](https://meilisearch.notion.site/v1-8-AI-search-API-usage-135552d6e85a4a52bc7109be82aeca42#40f24df3da694428a39cc8043c9cfc64)
### ⚠️ Breaking changes in an experimental feature:
- Removed the `_semanticScore`. Use the `_rankingScore` instead.
- Removed `vector` in the response of the search (output was too big).
- Removed all the vectors from the `vectorSort` ranking score details
- target vector appearing in the name of the rule
- matched vector appearing in the details of the rule
### Other user-facing changes
- Added `semanticHitCount`, indicating how many hits were returned from the semantic search. This is especially useful in the hybrid search.
- Embed lazily: Meilisearch no longer generates an embedding when the keyword results are "good enough".
- Graceful embedding failure in hybrid search: when doing hybrid search (`semanticRatio in ]0.0, 1.0[`), an embedding failure no longer causes the search request to fail. Instead, only the keyword search is performed. When doing a full vector search (`semanticRatio==1.0`), a failure to embed will still result in failing that search.
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
4549: Hugging Face embedder improvements r=dureuill a=dureuill
Architectural changes/Internal improvements
### 1. Prefer safetensors weights over pytorch weights when available
safetensors weights are memory mapped, which reduces memory usage of supported models.
### 2. Update candle
Updates candle to `0.4.1`, now targeting crates.io and the tokenizers to `v0.15.2` (still on github).
This might fix https://github.com/meilisearch/meilisearch/issues/4399 thanks to the now included https://github.com/huggingface/candle/issues/1454
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
