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
      • Recipes
        • AI-assisted recipe
        • Rapid model recipe
        • Template recipe
        • Code Recipe
        • RAG Recipes
      • 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
      • 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
    • 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
  • Additional Reading
    • Release Notes
      • 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
  • Enhancements
  1. Additional Reading
  2. Release Notes

Feb 19, 2024

New Features

Following are the new features introduced in this release:

A new and fresh look for the platform

RapidCanvas platform has undergone a makeover, enhancing its visual appeal, intuitiveness, and user-friendliness. Notable changes include:

  • Existing left navigation has been moved to top navigation bar.

  • Addition of a menu on the top-level navigation area for easy access to all modules.

  • Secondary navigation now displays module-specific functionalities.

  • Introduction of new colours and fonts on the dashboard and Projects page.

  • Update of icons across modules and screens for a refreshed appearance.

You can expect more enhancements in upcoming releases as we continue to refine our UI.

Addition of Business User Role

A new role, "business user," has been introduced. Users with this role can create projects and models but cannot create/edit/view scenarios, segments, template recipe types, models, artifacts, global variables, and view conditions in AI-assisted recipes. Timeout options are also not visible in both AI-assisted and rapid model recipes.

Enhancements

Multi-line Queries

Users now have the capability to input multiple lines in both the Ask AI and AI guide query boxes.

Recipe Type Display

The name of the recipe type used in the DAG is now visible in the side panel.

Chart Rendering with Plotly

Chart rendering has been upgraded from Streamlit to Plotly, offering improved support.

Addition of Dataset Button in Rapid Model Recipe

If a rapid model recipe fails, users can now easily navigate back to the Dataset view instead of the canvas page by selecting the "Go back to Dataset view" option.

Removal of "Create an Account" Option from Login Page

The "create an account" button has been removed from the platform's login page.

Change in Dataset Order

Previously, dataset column values were rendered from bottom to top; now, they are displayed from top to bottom as in the uploaded file.

Datatype Acceptance in AskAI

AskAI now accommodates datatype prompts, generating the output dataset with columns accordingly.

Addition of Notifications for Custom Environments and DataApps

Users now receive notifications when there is high CPU usage and low disk space in DataApps and customer environments. Users with DataApp view role restrictions are prompted to contact the admin to resolve resource consumption issues.

Enhancements to AskAI

AskAI now offers an improved user experience with features such as:

  • Highlight the error line in the generated code by the AskAI.

  • Options to test prompt outputs on different dataset sizes. The options available to test the recipe on the dataset include:

    • Test on the full dataset by default

    • Test on 100k rows

    • Test on 1 million rows in the dataset

  • Ability to customize chart names when adding them to recipes.

  • Transition to Plotly for chart generation.

Reorganized the Support Page

The support page to raise technical issues encountered on the platform has been moved from the left navigation menu to the top navigation area under the help section.

PreviousFeb 28, 2024NextJan 30, 2024

Last updated 3 months ago