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5351: Bring back v1.13.0 changes into main r=irevoire a=Kerollmops
This PR brings back the changes made in v1.13 into the main branch.
Co-authored-by: ManyTheFish <many@meilisearch.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: Clémentine <clementine@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: Clément Renault <clement@meilisearch.com>
4754: bring back v1.9.0 changes to main r=irevoire 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: Clément Renault <clement@meilisearch.com>
Co-authored-by: ManyTheFish <many@meilisearch.com>
4520: Add automation to create openAPI issue r=dureuill a=curquiza
Create automatically an issue to remind us to update open-api file when opening a milestone
Co-authored-by: curquiza <clementine@meilisearch.com>
4304: Add CUDA GPU support for Hugging Face embedders r=Kerollmops a=dureuill
Adds a "cuda" feature to `milli`.
Compiling with this feature requires that the CUDA support library be installed (see "with CUDA support" paragraph in https://huggingface.github.io/candle/guide/installation.html), and adds CUDA support to the `huggingFace` embedder.
To enable GPU support, users will need to:
1. Have a compatible NVidia GPU under Linux
2. Follow [the guide](https://huggingface.github.io/candle/guide/installation.html) to install the CUDA dependencies
3. Compile Meilisearch with the `cuda` feature: `cargo build --release --features cuda`
# Impact
Enabling the CUDA feature allows to use an available GPU to compute embeddings with a `huggingFace` embedder.
On an AWS Graviton 2, this yields a x3 - x5 improvement on indexing time.
# Technical details
- I had to change the CI so that the cuda feature is not included in the `Tests all features` workflow
- To achieve that, I had to add a binary following the `cargo xtask` design pattern, to list all features excepted the cuda one.
- I then changed the workflow accordingly (renamed to "Tests almost all features" 😉)
- A test run of the new feature was done on a temporary version of this PR that had it enabled for PRs: [See the results here](https://github.com/meilisearch/meilisearch/actions/runs/7461331929/job/20301216732)
Co-authored-by: Louis Dureuil <louis@meilisearch.com>