Release notes

Learn about our latest features here.

Release 24.2 - Q2 2024

Release Date: July 8th, 2024

Summary: This release focuses on enhancing our editor to produce high-quality reports and improve LLM features. Key highlights include enhanced formatting capabilities, AskAI improvements, export to Word, updates to lineage, and API enhancements.

New Features:

  1. Enhanced formatting capabilities for high-quality reports

    • Customize headers and footers for a professional look

    • Easily navigate through your document with an automatic outline

    • Add bookmarks for quick access to important sections

  2. AskAI improvements to enhance documentation with smarter AI capabilities

    • Generate detailed documentation effortlessly for a model or dataset.

    • Seamlessly search for assets and generate documentation with the new / menu

    • Enjoy a more intuitive interface with the Ask Me Anything feature

  3. Easily export your work to Word format

    • Convert your entire phase or individual reports to Word with ease

  4. Trace the origin of your data for transparency and accuracy

    • Provide evidence of where your data comes from with input dataset documentation

    • Document the source of the code used

    • Capture and document the code file for reference

  5. Boost your workflow with new API capabilities

    • Integrate Pytorch seamlessly into your projects

    • Capture code files automatically with the API

    • Pass detailed column descriptions for datasets via the API

Release 24.1 - Q1 2024

Release Date: April 22, 2024

Summary: This release introduces several powerful new features to enhance your workflow, improve documentation, and facilitate better collaboration. Key highlights include auto-documentation, Autolog, asset organization, Databricks code capture, read-only access for colleagues, and PDF export for documentation.

New Features:

  1. Auto-document your models and produce high-quality reports

    • Custom documentation templates / Macros

    • Manage templates and macros for specific user profiles

Watch our video for more info: LINK

  1. Capture your work with one line of code with Autolog

    • One line of code to capture all your notebook work.

View our API documentation for more info: LINK

  1. Organize the assets in your iteration to produce better documentation

    • Organize your assets into sections for better auto-documentation.

    • Rename iterations, create sections, move assets with drag-and-drop, delete assets, star your iteration, and update the status.

    • Add notes to comment on your work.

  1. Capture your code from Databricks

    • Ensure your code is never lost by capturing it in Vectice to complete lineage.

  1. Read-Only Access for Colleagues

    • Introduce the Viewer role at the organization level and Reader roles at the workspace level.

    • Ability to read, write comments, review, and export.

    • Check our user management page for more information.

  2. Export your documentation to PDF

    • Export all your documentation to PDF, formatted with header and footer if needed.

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