Release v0.3.13

Latest updates

February 7, 2026 Release Summary

New Features

• Create Collection With Sample Data: Added dialog and backend logic to create collections with synthetic text, markdown, or JSON sample data. Supports embedding model selection and generates embeddings automatically.
• Threaded Collection Creation: Collection creation and sample data population now run in a background thread, keeping the UI responsive.
• Loading Dialog: Progress dialog appears immediately and updates through all steps (model loading, collection creation, data insertion).
• Embedding Model Tracking: The selected embedding model is now saved per collection and profile, so the app shows the actual model used instead of 'autodetect'.

Bug Fixes & Improvements

• Fixed syntax errors and API misuse in collection_service.py and connection_controller.py
• Improved error handling and logging for collection creation
• UI feedback for success/failure is more informative

Technical Notes

• Refactored to use VectorDBConnection abstract API for all provider operations
• All new/modified files checked for syntax errors
• Model registry and settings integration for embedding model persistence

Vector Studio

• Added support for clustering visualization with HDBSCAN, DBScan, OPTICS, KMeans (Premium feature)

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Installation

Download the .whl or .tar.gz file from the Assets section below, then install with:

pip install <your-filename.whl>
# or
pip install <your-filename.tar.gz>

After installation, run the application with:

vector-inspector

For more details and troubleshooting, see the README.

What's Changed

• refactor: update Qt enum usage for improved clarity and consistency across components by @anthonypdawson in #8

Full Changelog: v0.3.12...v0.3.13