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25.1
25.1
  • 🏠Introduction
    • Vectice overview
      • Autolog
      • Next-Gen Autolog [BETA]
      • AskAI
      • Vectice for financial services
  • 🏁Quickstart
    • Getting started
    • Quickstart project
    • Tutorial project
    • FAQ
  • ▶️Demo Center
    • Feature videos
  • 📊Manage AI/ML projects
    • Organize workspaces
      • Create a workspace
      • Workspace Dashboard
    • Organize projects
      • Create a project
      • Project templates best practices
    • Invite colleagues
    • Define phase requirements
    • Collaborate with your team
  • 🚀Log and Manage Assets with Vectice API
    • API cheatsheets
      • Vectice Python API cheatsheet
      • Vectice R API cheatsheet
    • Connect to API
    • Log assets to Vectice
      • Autolog your assets
      • Log datasets
      • Log models
      • Log attachments and notes
      • Log code
      • Log a custom data source
      • Log assets using Vectice IDs
      • Log dataset structure and statistics
      • Log custom metadata in a table format
      • Log MLFLow runs
    • Retrieve assets from app
    • Manage your assets
    • Manage your iteration
    • Preserve your code and asset lineage
  • 🤝Create Model documentation and reports
    • Create model documentation with Vectice Reports
    • Streamline documentation with Macros
    • Auto-document Models and Datasets with AskAI Prompts
    • Document phase outcomes
  • 🗂️Admin Guides
    • Organization management
    • Workspace management
    • Teams management
    • User management
      • User roles and permissions
      • Update a user role in your organization
      • Activate and deactivate users
      • Reset a user's password
    • Manage report templates
  • 🔗Integrations
    • Integrations Overview
    • Integrate Vectice with your data platform
  • 💻IT & Security
    • IT & Security Overview
    • Secure Evaluation Environment Overview
    • Deployment
      • SaaS offering (Multi-Tenant SaaS)
      • Kubernetes self-hosted offering
        • General Architecture & Infrastructure
        • Kubernetes on GCP
          • Appendices
        • Kubernetes on AWS
          • Appendices
        • Kubernetes on Azure
          • Appendices
        • GCP Marketplace deployment
        • On premise
        • Configuration
      • Bring Your Own LLM Guide
    • Data privacy
    • User management
    • SSO management
      • Generic SAML integration
      • Okta SSO integration
    • Security
      • Data storage security
      • Network Security
        • HTTPS communication
        • Reverse proxy
        • CORS/CSRF
        • VPC segregation
      • Sessions
      • Secrets and certificates
      • Audit logs
      • SOC2
      • Security updates
      • Best practices
      • Business continuity
    • Monitoring
      • Installation guide
      • Customizing the deployments
    • Maintenance & upgrades
    • Integrating Vectice Securely
  • ⭐Glossary
    • Concepts
      • Workspaces
      • Projects
        • Setup a project
      • Phases
      • Iterations
        • Iterative development
      • Datasets
        • Dataset resources
        • Dataset properties
        • Dataset lineage and versions
      • Models
      • Reports
  • 🎯Release notes
    • Release notes
  • ↗️References
    • Vectice Python API Reference
    • Vectice R API Cheatsheet
    • Notebooks and code samples
    • Vectice website
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On this page
  • Auto-document Videos
  • AI Project Management Videos
  • AI Catalog Videos
  • Enteprise Ready Videos
  1. Demo Center

Feature videos

PreviousFAQNextOrganize workspaces

Explore our features through easy-to-follow videos to see how Vectice can add value to your Data Science and Machine Learning work and make your documentation process seamless and efficient.

Right-click the videos below to open and watch them in a new tab.

Auto-document Videos

AI Project Management Videos

AI Catalog Videos

Enteprise Ready Videos

▶️

How to Use Vectice Autolog in Your Databricks Environment

How to autolog your metadata to Vectice from Jupyterlab

How to create Model Documentation using Vectice Reports

How to Auto-Document Your Models with AskAI

How to use Macros in Vectice to automate documentation

How to view ML Project Insights using Vectice Dashboards

How to ingest Excel-based data into Vectice

How to Improve LLM output by reorganizing your Iteration Assets

How to create phase requirements to guide ML projects

How to Preserve the Code and Lineage of Your Model

How to Import Vectice Documentation into Confluence

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