chore(deps): bump the all-dependencies group across 1 directory with 3 updates

[dependabot]

Bumps the all-dependencies group with 3 updates in the / directory: plotly, python-dotenv and sentence-transformers.

Updates plotly from 6.1.2 to 6.2.0

Release notes

Sourced from plotly's releases.

v6.2.0

Added

• Add SRI (Subresource Integrity) hash support for CDN script tags when using include_plotlyjs='cdn'. This enhances security by ensuring browser verification of CDN-served plotly.js files [#5165] (with thanks to @​ddworken)

Fixed

• Allow setting Plotly.js path via pio.defaults [#5207]

Changed

• Refactor validation code to reduce bundle size [#5214] (with thanks to @​bmaranville)
• Add deprecation warnings when using Kaleido v0 or deprecated image export features [#5177]

Changelog

Sourced from plotly's changelog.

[6.2.0] - 2025-06-26

Added

• Add SRI (Subresource Integrity) hash support for CDN script tags when using include_plotlyjs='cdn'. This enhances security by ensuring browser verification of CDN-served plotly.js files [#5165] (with thanks to @​ddworken)

Fixed

• Allow setting Plotly.js path via pio.defaults [#5207]

Changed

• Refactor validation code to reduce bundle size [#5214] (with thanks to @​bmaranville)
• Add deprecation warnings when using Kaleido v0 or deprecated image export features [#5177]

Commits

• 12be407 update changelog
• 8c6acc2 Merge branch 'main' into release-6.2.0
• abe7595 update changelog
• 3ab4eb4 Merge pull request #5242 from plotly/LiamConnors-patch-3
• 75ebf6a Update what_about_dash.md
• e7586e3 bump version to 6.2.0
• 6096ba4 update changelog
• f2a9d60 Merge pull request #5236 from plotly/re-enable-kaleido-deprecations
• 8b1e878 update changelog
• 2159db5 bump kaleido version specified in extras
• Additional commits viewable in compare view

Updates python-dotenv from 1.1.0 to 1.1.1

Release notes

Sourced from python-dotenv's releases.

v1.1.1

What's Changed

• fix: ensure find_dotenv work reliably on python 3.13 by @​theskumar in theskumar/python-dotenv#563
• fix(cli): issue with execvpe on Windows by @​wrongontheinternet in theskumar/python-dotenv#566

New Contributors

• @​wrongontheinternet made their first contribution in theskumar/python-dotenv#566

Full Changelog: theskumar/python-dotenv@v1.1.0...v1.1.1

Changelog

Sourced from python-dotenv's changelog.

[1.1.1] - 2025-06-24

Fixed

• CLI: Ensure find_dotenv work reliably on python 3.13 by [@​theskumar] in #563
• CLI: revert the use of execvpe on Windows by [@​wrongontheinternet] in #566

Commits

• 16e660d Bump version: 1.1.0 → 1.1.1
• 667e82f update changelog
• 9d85edb fix(cli): issue with execvpe on Windows (#566)
• 8411987 fix: ensure find_dotenv work reliably on python 3.13 (#563)
• 01f8997 docs update
• See full diff in compare view

Updates sentence-transformers from 4.1.0 to 5.0.0

Release notes

Sourced from sentence-transformers's releases.

v5.0.0 - SparseEncoder support; encode_query & encode_document; multi-processing in encode; Router; and more

This release consists of significant updates including the introduction of Sparse Encoder models, new methods encode_query and encode_document, multi-processing support in encode, the Router module for asymmetric models, custom learning rates for parameter groups, composite loss logging, and various small improvements and bug fixes.

Install this version with

# Training + Inference
pip install sentence-transformers[train]==5.0.0
Inference only, use one of:
pip install sentence-transformers==5.0.0
pip install sentence-transformers[onnx-gpu]==5.0.0
pip install sentence-transformers[onnx]==5.0.0
pip install sentence-transformers[openvino]==5.0.0

[!TIP] Our Training and Finetuning Sparse Embedding Models with Sentence Transformers v5 blogpost is an excellent place to learn about finetuning sparse embedding models!

[!NOTE] This release is designed to be fully backwards compatible, meaning that you should be able to upgrade from older versions to v5.x without any issues. If you are running into issues when upgrading, feel free to open an issue. Also see the Migration Guide for changes that we would recommend.

Sparse Encoder models

The Sentence Transformers v5.0 release introduces Sparse Embedding models, also known as Sparse Encoders. These models generate high-dimensional embeddings, often with 30,000+ dimensions, where often only <1% of dimensions are non-zero. This is in contrast to the standard dense embedding models, which produce low-dimensional embeddings (e.g., 384, 768, or 1024 dimensions) where all values are non-zero.

Usually, each active dimension (i.e. the dimension with a non-zero value) in a sparse embedding corresponds to a specific token in the model's vocabulary, allowing for interpretability. This means that you can e.g. see exactly which words/tokens are important in an embedding, and that you can inspect exactly because of which words/tokens two texts are deemed similar.

Let's have a look at naver/splade-v3, a strong sparse embedding model, as an example:

from sentence_transformers import SparseEncoder
Download from the 🤗 Hub
model = SparseEncoder("naver/splade-v3")
Run inference
sentences = [
"The weather is lovely today.",
"It's so sunny outside!",
"He drove to the stadium.",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
(3, 30522)
Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
tensor([[   32.4323,     5.8528,     0.0258],
</tr></table>

... (truncated)

Commits

• 8dc0fca Release v5.0.0
• e91af6a Update links for SPLADE and Inference-Free SPLADE models collections in docum...
• 4c00aea [fix] Remove hub_kwargs in SparseStaticEmbedding.from_json in favor of more...
• 28685bb Clean up gitignore (#3409)
• 85dd175 Fix formatting of docstring arguments in SpladeRegularizerWeightSchedulerCall...
• 14afc4b Merge PR #3401: [v5] Add support for Sparse Embedding models
• 2d24841 Update tip phrasing and fix links
• ed043c5 typo
• b2679d1 fix broken link
• d30341e Update tips to prepared for v5.0
• Additional commits viewable in compare view

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[dependabot]

Looks like these dependencies are updatable in another way, so this is no longer needed.