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
  • Recipe Queue
  • Audit History for Dataset Updates
  • Enhancements
  • AI Guide Enhancements
  • AskAI DataApp Enhancements
  • Introduced Versioning for Platform and SDK
  • API Connector Enhancements
  • User Interface Improvements
  1. Additional Reading
  2. Release Notes

July 18, 2024

New Features

Following are the new features introduced in this release:

Recipe Queue

Overview

Introducing the Recipe Queue feature, enhancing workflow efficiency by allowing users to queue multiple recipes on the canvas.

Key Features

  • Queue Management: Users can trigger multiple recipes sequentially. If a recipe is already running, subsequent recipes are queued automatically.

  • Queue Interface: A dedicated interface allows users to view, reorder, and remove recipes from the queue as needed.

  • Status and Logs: Each recipe in the queue displays real-time status updates and logs, providing visibility into execution progress.

  • Clear Queue Option: Users have the flexibility to clear the entire recipe queue with a single action.

Usage

  • Executing Recipes: Users can initiate the first recipe on the canvas. Subsequent recipes can be added to the queue by right-clicking and selecting "Add to Queue" from the context menu.

  • Run Options: Upon running the first recipe, users can manage subsequent recipes efficiently using the queue feature.

Benefits

  • Enhances productivity by streamlining the execution of multiple recipes without manual intervention.

  • Provides clear visibility and control over recipe execution sequence and status.

  • Simplifies workflow management by allowing users to prioritize and adjust recipe execution order on the fly.

This update introduces a powerful capability to manage and streamline recipe execution workflows, aimed at optimising user experience and operational efficiency.

Audit History for Dataset Updates

Overview

Introducing the new "Actions" column for datasets, enhancing audit history and user activity tracking within the platform.

Key Features

  • Audit Logging: The "Actions" column records user activities such as query creation, reloading, or updating.

  • Detailed Entries: Each entry in the Actions column includes:

    • Action performed (e.g. creation, reloading, updating)

    • User responsible for the action

    • Timestamp of the action

Usage

  • Visibility and Transparency: Provides administrators and users with a clear audit trail of dataset activities for compliance and troubleshooting purposes.

  • Audit Trail Management: Enables efficient tracking and review of changes made to SQL queries over time.

Benefits

  • Enhances security and accountability by documenting user interactions with SQL queries.

  • Facilitates compliance with regulatory requirements by maintaining a comprehensive audit trail.

  • Supports troubleshooting efforts with detailed insights into query history and modifications.

This update introduces a valuable feature for monitoring and managing SQL-based connector activities, aimed at improving transparency and governance within the platform.

Enhancements

AI Guide Enhancements

  • Clear Chat History: The chat history clear icon has been replaced with text for improved usability.

  • Response Width: Responses in the chat window now have reduced width for better readability.

  • Feedback Icons: Thumbs up and thumbs down icons have been introduced for every AI-generated response, enabling users to provide quick feedback.

AskAI DataApp Enhancements

  • Add to DataApp: Users can now save charts to the AskAI DataApp using the new "Add to DataApp" option.

  • Additional Charts Tab: Saved charts are accessible under the "Additional Charts" tab within the DataApp interface.

  • Remove from DataApp: Charts can be removed from the DataApp using the "Remove from DataApp" option, providing flexibility in chart management.

Introduced Versioning for Platform and SDK

  • Version Information: Users can now view the platform and SDK versions under the version option in the Help drop-down menu.

    • Platform Version: Displays the current platform version.

    • SDK Version: Indicates the version of installable components, such as the Jupyter notebook for connecting with RapidCanvas.

API Connector Enhancements

  • Recipe Visibility: The API connector recipe is now visible when selecting datasets and clicking the plus button, improving accessibility and usability.

  • Sample Syntax: Updated sample syntax provided in the API connector workspace for clarity and ease of use.

User Interface Improvements

  • Revamped Delete Dialog: The delete dialog on the canvas now displays icons of the nodes being deleted, enhancing visual clarity and user experience.

  • Auto-Focus on Input/Search Boxes: Input or search text boxes now auto-focus when the drop-down is opened across the application, improving efficiency and user interaction.

These enhancements aim to improve functionality, usability, and performance across various aspects of the platform, enhancing user experience and productivity.

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Last updated 3 months ago