Next-Gen Autolog [BETA]

Overview

Next-Gen Autolog takes documentation to the next level by integrating metadata analysis with code analysis, providing richer, more accurate, and context-aware insights. Powered by Ask AI, it captures not just what the code does, but how it performs in real-world scenarios—enhancing understanding, usability, and maintainability.

The power of Metadata and Code

By integrating metadata and code analysis, Next-Gen Autolog provides documentation which is:

✅ Context-aware – Explains what the code does and how well it works. ✅ Insight-driven – Highlights model performance, dataset biases, and risks. ✅ Actionable – Surfaces key insights to improve model trust and usability.

Key capabilities

1. Automated context extraction with GenAI-powered Autolog

Enrich captured metadata with automated contextual information extraction, improving documentation quality and usability.

• Structured asset organization: assets are systematically categorized into sections.

• Contextual insights: automatically integrates asset creation details and relevant insights.

• Automated lineage tracking: derives relationships between assets without manual input.

• Feature engineering logic extraction: captures and documents transformation processes applied to data.

2. Enriched documentation

Leverage extracted metadata to create highly detailed and nuanced documentation.

• AI-Powered understanding: Ask AI uses extracted insights to interpret and explain code functionality.

• Accurate feature engineering documentation: Captures complex data transformations and feature creation steps.

• Densely populated lineage information: Provides a comprehensive view of data dependencies and transformations.

3. Automated report generation using templates and macros

With enriched metadata, reports can be generated effortlessly using predefined templates and macros.

• Advanced prompting: Ask AI applies metadata-driven prompts to generate well-structured documentation.

• Comprehensive long-form reports: Create detailed and complex documents using pre-defined macros and widgets.

How It Works

Use Autolog to capture all metadata from your notebook. Once the metadata is logged into Vectice:

1. Navigate to the Iteration Page.

2. Click on Organize with Ask AI.

3. Ask AI will:

• Reorganize iteration content

• Add structured sections, descriptions, and notes

• Build lineage between assets

• Render dataset transformations

The results are immediately visible in the iteration page and can be integrated into the documentation using Macros, Widgets or pre-defined Prompts.