fly: Enhance Dockerfile with local embeddings installation

[imcvampire]

Added installation of optional peer dependency for local embeddings and preloaded model weights during Docker build.

Summary by CodeRabbit

• Chores
  • Improved deployment efficiency by pre-caching model weights during the build process, reducing runtime dependencies.

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[coderabbitai]

📝 Walkthrough

Walkthrough

Docker build now includes a step to install @xenova/transformers and pre-cache the Xenova/all-MiniLM-L6-v2 embedding model at image build time. This eliminates runtime downloads of model weights and avoids requiring a build-cache volume.

Changes

Embedding Model Preload

Layer / File(s)	Summary
Build-time embedding model initialization deploy/fly/Dockerfile	Docker RUN instruction installs @xenova/transformers npm package and executes a Node script that loads the feature-extraction pipeline with Xenova/all-MiniLM-L6-v2, causing model weights to be fetched and cached during image build rather than at runtime.

🎯 2 (Simple) | ⏱️ ~8 minutes

🐰 A Dockerfile so neat,
With embeddings cached, oh what a treat!
No runtime waits, no HuggingFace calls,
The model sits ready within Docker's walls.
binkbink ✨

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title 'fly: Enhance Dockerfile with local embeddings installation' clearly and accurately summarizes the main change: adding embeddings installation to the Dockerfile.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

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✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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[coderabbitai]

Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@deploy/fly/Dockerfile`:
- Around line 32-33: The Dockerfile RUN that installs `@xenova/transformers` and
pre-caches the model should pin the package to a deterministic version to avoid
build drift; change the install invocation to install
`@xenova/transformers`@2.17.2 (matching package.json's ^2.17.2) instead of the
unversioned package name and rebuild the image so the node -e
pipeline('feature-extraction','Xenova/all-MiniLM-L6-v2') cache is deterministic.

🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes

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ℹ️ Review info

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: 326850d1-74fe-43ac-b376-3e0590163032

📥 Commits

Reviewing files that changed from the base of the PR and between f6f9e3c and cc61211.

📒 Files selected for processing (1)

• deploy/fly/Dockerfile