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
  • Additional Reading
    • Release Notes
      • 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
Powered by GitBook
On this page
  • New Features
  • Enhanced Project Copy Functionality
  • Enhanced Insights with Reasoning Support in DataApps
  • Edit Code Functionality for React JS DataApps
  • Enhancements
  • Support for Uploading Multiple Sheets from XLSX Files
  • Download Artifacts as ZIP Files
  • Support for Encrypted Private Keys in Snowflake Connector
  • Copy Output Destination Node for Recipe Outputs (Same Tenant)
  • Notebook Enhancements
  • Streamlit App Compatibility Message
  • Revamped AskAI Tab in Recipes and DataApps
  • New “Click Here” Option for Updated Scheduler Outputs within Scheduler DataApps:
  1. Additional Reading
  2. Release Notes

April 21, 2025

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

New Features

Enhanced Project Copy Functionality

We’ve significantly upgraded the Copy Project feature to provide a smoother, more customizable duplication process.

New Copy Options

  • Metadata only: Duplicates the data pipeline structure only; datasets are excluded. Blocks remain unbuilt, ready for fresh builds.

  • With data: Duplicates the pipeline and all associated datasets. Connectors and credentials are also copied to maintain full functionality.

Secret Management

  • Same workspace: Reuses existing secrets.

  • Different workspace: Automatically includes necessary secrets to maintain compatibility.

Naming Conflict Handling

  • Users are alerted to any naming conflicts (projects, artifacts, models, environments, connectors, DataApps) before the copy proceeds.

  • Upon confirmation, items will be renamed using the original name + a sequence number (e.g., Model_v2) to avoid collisions.

  • Note: Rapid model recipe outputs are always renamed by default.

This enhancement ensures project duplication is seamless, secure, and easy to manage across teams or environments.

Enhanced Insights with Reasoning Support in DataApps

We’re bringing AI-powered contextual insights to your analytics experience with a new reasoning feature inside DataApps.

New Capabilities

  • A new “Enable Insights Model” toggle is available in each DataApp’s Settings tab.

  • Enables reasoning and explanation features via the AskAI tab.

Model Options

  • OpenAI GPT-4o

  • OpenAI GPT-o1

System Message Support

  • Define a System Message to guide the AI’s tone, goals, or use case.

  • Helps tailor responses to business needs or analytical scenarios.

Once enabled, querying datasets or charts in AskAI returns interpretable narratives, helping you spot trends, anomalies, and patterns—without sifting through raw data.

Edit Code Functionality for React JS DataApps

Developers can now edit imported React JS DataApps directly within the platform for full code-level control.

How It Works

  • Hover over a React JS DataApp card and select Edit Code from the kebab menu.

  • Opens a fully integrated Bolt Editor with real-time preview and code comparison.

Editor Features

  • Modify and preview app code instantly.

  • Compare original vs. modified versions.

  • Download source code for external use.

  • Sync files with local directories.

  • Publish updates or reset to original code.

This gives teams the power to iterate, debug, and optimize DataApps within the platform, streamlining development workflows.

Enhancements

Support for Uploading Multiple Sheets from XLSX Files

You can now upload all sheets from an XLSX workbook in a single action.

  • Each sheet is treated as a separate dataset and added to the canvas.

  • This replaces the previous behavior where only the first sheet was imported.

  • Ideal for users managing data across multiple sheets—streamlining multi-dataset workflows.

Download Artifacts as ZIP Files

A new Actions button on the Artifacts page simplifies file access:

  • Clicking an artifact opens its folder view.

  • Select Download to get all files within the artifact as a ZIP archive.

  • Perfect for backups, exports, or sharing artifacts externally.

Support for Encrypted Private Keys in Snowflake Connector

Snowflake connector now supports encrypted private keys with passphrase protection:

  • Passphrases are securely stored and never sent to Snowflake.

  • Ensures compliance with PCI DSS standards and provides enhanced authentication security.

Copy Output Destination Node for Recipe Outputs (Same Tenant)

When duplicating a project within the same tenant:

  • Output destination nodes tied to recipe outputs are now automatically copied.

  • Maintains consistency and eliminates the need to reconfigure outputs post-copy.

Notebook Enhancements

A new Syntax button is now available in the Notebook editor:

  • Quickly insert pre-built syntax snippets when editing code recipes.

  • Speeds up development and reduces the chance of syntax errors.

  • Great for beginners and advanced users alike.

Streamlit App Compatibility Message

An info icon now warns users about:

  • Python 3.8-specific limitations, such as slower launch times and reduced SDK compatibility.

  • Helps users plan for compatibility and performance proactively.

Revamped AskAI Tab in Recipes and DataApps

The AskAI interface has been redesigned for a smoother experience:

  • Unified layout: Inputs, Code, and AskAI tabs are now integrated with collapsible side panels.

  • Improved styling: Better font size, background colors, and spacing for clarity.

  • Chat UX update: Questions appear on the right, AI responses on the left.

  • Expandable responses: Code blocks can be expanded or collapsed via a View Code toggle.

  • Refined output previews:

    • For datasets: Only column names + 1st row shown by default.

    • For text: First 3 lines shown with a View More option.

Interactive Output Previews

  • Submitting a new query will auto-collapse the previous response.

  • Click anywhere on a preview to expand the full output.

  • Enables fast navigation and improved focus on current results.

Visual Feedback for Canvas Recipes

Once a recipe is added to the canvas:

  • Its associated dataset or chart icon now turns green.

  • Offers instant visual confirmation that the recipe has been successfully placed.

New “Click Here” Option for Updated Scheduler Outputs within Scheduler DataApps:

  • When a new output is generated as a result of new scheduler run

  • A "Click here" prompt appears next to the output selector.

  • Reloads the latest data

  • Re-runs AI responses for all previous queries

  • Ensures responses reflect the most current data, even mid-conversation.

Note: AI responses may vary if the new data significantly differs.

PreviousRelease NotesNextApril 01, 2025

Last updated 23 days ago