chore(deps): bump pgvector from 0.4.1 to 0.4.2

[dependabot]

Bumps pgvector from 0.4.1 to 0.4.2.

Changelog

Sourced from pgvector's changelog.

0.4.2 (2025-12-04)

• Added support for Django 6
• Added support for str objects for bit type with SQLAlchemy

Commits

• 2968f25 Version bump to 0.4.2 [skip ci]
• 674f5ba Updated checkout action [skip ci]
• e2986da Added support for Django 6
• e211ba4 Test with Python 3.14 on CI
• 1a72b75 Updated pgvector on CI
• c820a53 Simplified examples [skip ci]
• caf1a2e Added docs for binary quantization with SQLAlchemy [skip ci]
• dc9a8f9 Added test for binary quantization with re-ranking
• 33dee60 Added support for str objects for bit type with SQLAlchemy - #137
• ee3e71c Updated format for license identifier
• Additional commits viewable in compare view

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[claude]

🔍 Dependency Analysis Summary

• pgvector: 0.4.1 → 0.4.2 (patch bump, Python dep via uv)
• Overall risk: LOW

Single-file diff in uv.lock. No pyproject.toml constraint changes.

📋 Detailed Changelog Review

pgvector 0.4.2 (released 2025-12-04, changelog):

• Added support for Django 6
• Added support for str objects for bit type with SQLAlchemy (issue #137)

No breaking changes, no deprecations, no security fixes. Pure additive release.

⚠️ Impact Assessment

• Breaking changes: None
• OCS usage (verified via grep of apps/):
  • apps/files/models.py — HalfVectorField
  • apps/files/migrations/0007_* — VectorField, HnswIndex
  • apps/files/migrations/0008_* — HalfVectorField
  • apps/chat/agent/tools.py — CosineDistance
  • apps/service_providers/llm_service/index_managers.py — CosineDistance
  • apps/documents/migrations/0008_add_pg_vector_extension.py — VectorExtension
• All usage is Django ORM (pgvector.django.*), not SQLAlchemy, and not bit type → the SQLAlchemy bit/str change does not apply.
• OCS pins Django 5.2.13 → the Django 6 compatibility change is forward-looking and does not affect current behavior.
• Affected files: None
• Test impact: None expected
• Config changes: None

🛠️ Recommendations

• Action required: None beyond standard CI.
• Testing focus: Standard test suite is sufficient; the vector embedding/retrieval paths (file chunk embeddings, RAG search via CosineDistance) exercise the touched library code and should pass unchanged.
• Follow-up tasks: None.
• Merge recommendation: APPROVE ✅

📚 Useful Links

• pgvector-python 0.4.2 changelog
• Compare v0.4.1...v0.4.2