RapidCanvas Docs
  • Welcome
  • GETTING STARTED
    • Quick start guide
    • Introduction to RapidCanvas
    • RapidCanvas Concepts
    • Accessing the platform
  • BASIC
    • Projects
      • Projects Overview
        • Creating a project
        • Reviewing the Projects listing page
        • Duplicating a Project
        • Modifying the project settings
        • Deleting Project(s)
        • Configuring global variables at the project level
        • Working on a project
        • Generating the about content for the project
        • Generating AI snippets for each node on the Canvas
        • Marking & Unmarking a Project as Favorite
      • Canvas overview
        • Shortcut options on canvas
        • Queuing the Recipes
        • Bulk Deletion of Canvas Nodes
        • AI Guide
        • Viewing and Managing the Environment Status
      • Recipes
        • AI-assisted recipe
        • Rapid model recipe
        • Template recipe
        • Code Recipe
        • RAG Recipes
        • Viewing & Managing a Recipe from the Canvas
      • Scheduler overview
        • Creating a scheduler
        • Running the scheduler manually
        • Managing schedulers in a project
        • Viewing the schedulers in a project
        • Viewing the run history of a specific scheduler
        • Publishing the updated data pipeline to selected jobs from canvas
        • Fetching the latest data pipeline to a specific scheduler
        • Comparing the canvas of the scheduler with current canvas of the project
      • Predictions
        • Manual Prediction
        • Prediction Scheduler
      • Segments and Scenarios
      • DataApps
        • Model DataApp
        • Project Canvas Datasets
        • Custom Uploaded Datasets
        • SQL Sources
        • Documents and PDFs
        • Prediction Service
        • Scheduler
        • Import DataApp
    • Connectors
      • Importing dataset(s) from the local system
      • Importing Text Files from the Local System
      • Viewing options in the side panel of a dataset block
      • Configuring Destination Details for Output Datasets
      • Connectors overview
      • Connect to external connectors
        • Importing data from Google Cloud Storage (GCS)
        • Importing data from Amazon S3
        • Importing data from Azure Blob
        • Importing data from Mongo DB
        • Importing data from Snowflake
        • Importing data from MySQL
        • Importing data from Amazon Redshift
        • Importing data from Fivetran connectors
    • Workspaces
      • User roles and permissions
      • Super Admin Management
    • Artifacts & Models
      • Adding Artifacts at the Project Level
      • Adding Models at the Project Level
      • Creating an artifact at the workspace level
      • Managing artifacts at the workspace level
      • Managing Models at the Workspace Level
      • Prediction services
    • Environments Overview
      • Creating an environment
      • Editing the environment details
      • Deleting an environment
      • Monitoring the resource utilization in an environment
  • ADVANCED
    • Starter Guide
      • Quick Start
    • Setup and Installation
      • Installing and setting up the SDK
    • Helper Functions
    • Notebook Guide
      • Introduction
      • Create a template
      • Code Snippets
      • DataApps
      • Prediction Service
      • How to
        • How to Authenticate
        • Create a new project
        • Create a Custom Environment
        • Add a dataset
        • Add a recipe to the dataset
        • Manage cloud connection
        • Code recipes
        • Display a template on the UI
        • Create Global Variables
        • Scheduler
        • Create new scenarios
        • Create Template
        • Use a template in a flow notebook
      • Reference Implementations
        • DataApps
        • Artifacts
        • Connectors
        • Feature Store
        • ML model
        • ML Pipeline
        • Multiple Files
      • Sample Projects
        • Model build and predict
    • Rapid Rag
    • MLflow
  • Additional Reading
    • Release Notes
      • June 09, 2025
      • May 14, 2025
      • April 21, 2025
      • April 01, 2025
      • Mar 18, 2025
      • Feb 27, 2025
      • Jan 27, 2025
      • Dec 26, 2024
      • Nov 26, 2024
      • Oct 24, 2024
      • Sep 11, 2024
        • Aug 08, 2024
      • Aug 29, 2024
      • July 18, 2024
      • July 03, 2024
      • June 19, 2024
      • May 30, 2024
      • May 15, 2024
      • April 17, 2024
      • Mar 28, 2024
      • Mar 20, 2024
      • Feb 28, 2024
      • Feb 19, 2024
      • Jan 30, 2024
      • Jan 16, 2024
      • Dec 12, 2023
      • Nov 07, 2023
      • Oct 25, 2023
      • Oct 01, 2024
    • Glossary
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On this page
  • New Features
  • Introducing the Super Admin Role
  • Enhancements
  • DataApps Enhancements
  • AskAI Experience Improvements
  • Environment & Performance Improvements
  • Recipe Enhancements
  • Code Assist Upgrades
  • File Format & Size Support
  • Connectors and Export Enhancements
  • Usability Improvements
  • Asynchronous Platform Operations
  1. Additional Reading
  2. Release Notes

June 09, 2025

Learn about the enhancements, new features, and resolved issues as part of this release.

New Features

Introducing the Super Admin Role

We’re excited to roll out the Super Admin role, designed to offer full administrative authority across the entire RapidCanvas platform. Super Admins gain complete visibility and control over all users, workspaces, and projects—enabling centralized governance and streamlined operations.

Key Capabilities:

  • Platform-wide access to all workspaces

  • Invite, manage, and delete users across all workspaces

  • Create and automatically administer new workspaces

  • Seamlessly switch between workspaces from a centralized interface

  • Archive, activate, or permanently delete workspaces

  • Configure workspace-level settings (DataApps, licenses, secrets, API keys)

  • Access to all projects regardless of ownership

Note: Any user added to the master tenant is automatically assigned the Super Admin role.

Enhancements

DataApps Enhancements

  • Topics Toggle for Starter Prompts: Organize prompts into multiple categories using the new Topics toggle. Prompts appear grouped under each topic in the AskAI window for easier access.

  • Copy Table Data: Easily copy filtered or sorted table data from the Preview Data page to your local system for quick sharing or offline analysis.

AskAI Experience Improvements

  • Expandable/Collapsible Output Datasets: Click on datasets in chat to expand or collapse them for streamlined navigation.

  • Interactive Feedback Tools: Users can now give granular feedback using thumbs-up/down with contextual comments and categorized options.

  • Sticky Top Rows & Collapse Indicators: Collapsed views retain visibility of top rows, and subtle indicators show when content is collapsed.

Environment & Performance Improvements

  • Environment Status in Navigation Bar: View environment type, memory, CPU, and disk space at a glance. Take actions like Start, Stop, or Refresh.

  • Clean Disk Option: Free up environment disk space before restarting to improve performance.

  • Increased Default Disk Size: Default environment disk size raised to 50GB, with configurable limits up to 100GB.

Recipe Enhancements

  • Project Variable Management: Define and manage project variables directly within Code and AskAI recipes via the Inputs panel.

  • Extended Timeout: Default recipe timeout extended from 2 to 6 hours.

  • Error Feedback with Fix Suggestions: LLM-powered debugging suggestions for errors in Code, AskAI, and Rapid Model recipes.

  • Duplicate Recipes from Details Page: New option to duplicate a recipe directly from the recipe detail view.

Code Assist Upgrades

Prompt Suggestions: Use smart built-in prompts like Optimize Code, Explain Code, and Detect Bugs directly from the Code Assist panel.

File Format & Size Support

  • New Input Formats in Prediction Scheduler: Now supports .xlsx and .parquet files in addition to .xls.

  • File Size Display: Input and output file sizes are now shown directly in the recipe side panel.

Connectors and Export Enhancements

  • SQL Dataset Status Indicators: Monitor states like Unbuilt, Building, Built, and Error across Snowflake, MySQL, PostgreSQL, and MongoDB datasets.

  • Async Export to SQL Destinations: Export large datasets asynchronously with real-time status updates and error tracking.

  • Detailed Logs & Audit History: View logs for error states and track actions in the View Data page with timestamps.

Usability Improvements

  • Alphabetical Sorting in Input Panels: Secrets, canvas nodes, prediction services, and variables now sorted alphabetically for easier selection.

  • Info Icons on Data Analysis: Informational messages clarify that analysis is sampled for performance (up to 50 columns, 100,000 rows).

  • Sampling Support in AskAI & AI Guide Charts: Automatically applies sampling if chart exceeds 4MB limit, ensuring generation reliability.

Asynchronous Platform Operations

To support large datasets and time-intensive processes, asynchronous task handling is now integrated in:

  • Environment creation & deletion

  • Project copying

  • Exporting datasets

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Last updated 8 days ago