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
  • API Connector Recipe
  • Context-Sensitive Help and How-to Videos
  • Enhancements
  • Navigation Enhancements
  • Fivetran Connectors Enhancements
  • Prediction Service Enhancements
  • User Interface Improvements
  • Rapid Model Recipes
  1. Additional Reading
  2. Release Notes

July 03, 2024

New Features

Following are the new features introduced in this release:

API Connector Recipe

Introduction:

We are excited to announce the introduction of the API Connector Recipe, a powerful addition to our existing recipe types.

Key Features:

  • Direct Python Code Integration: Users can now write Python code directly within the platform to generate datasets, eliminating the need to upload a dataset beforehand.

  • On-Canvas Access: The API Connector Recipe is accessible directly from the canvas without the requirement to pre-upload a dataset.

  • Code Testing Capabilities: Users can test their code before integrating it into the canvas, ensuring reliability and functionality.

This new feature enhances flexibility and efficiency in data handling, empowering users to streamline their workflow and achieve more with Rapid Canvas AI.

Context-Sensitive Help and How-to Videos

Introduction:

  • Context-Sensitive Help: Enhance user experience with integrated context-sensitive help throughout the platform. These resources provide on-demand guidance tailored to the user's current context, ensuring users can find help exactly where they need it.

  • How-to Videos: To facilitate learning and usability, a comprehensive library of how-to videos has been added. These videos cover various functionalities within the platform, offering visual demonstrations and step-by-step instructions.

Benefits:

Enhanced User Guidance and Efficient Learning: Users can access relevant help content directly within the platform interface, minimizing the need to search external resources.

Improved Usability: How-to videos supplement traditional documentation with visual aids, making it easier for users to learn and master the platform features

Enhancements

The enhancements made to the existing functionalities include:

Navigation Enhancements

  • Context-Based Breadcrumbs and Back Button:

    • Breadcrumb Trail: Users can now navigate back through their recent actions using context-based breadcrumbs. This allows for easier retracing of steps without returning to the home page.

    • Back Button: A dedicated back button has been introduced for quick navigation to the previous page, enhancing user convenience.

Fivetran Connectors Enhancements

Manual Sync Option:

Users can manually trigger data synchronization within each Fivetran connector, providing greater control over data updates.

Sync Messages:

Differentiated messages for manual and automatic syncs provide clear status updates. After a manual sync, the last synchronization time is displayed, ensuring transparency.

Auto Sync:

Data synchronization can now be automated at specified intervals, ensuring that users always have access to the latest data without needing manual intervention.

Prediction Service Enhancements

New Configuration Options:

  • Users can now configure timeout settings for incoming requests and manage concurrency through a queuing system.

  • A toggle for showing logs allows users to control the visibility of prediction logs, enhancing transparency and debugging capabilities.

User Interface Improvements

Revamped Side Panel Design:

  • The side panel for datasets, recipes, models, and charts has been redesigned for improved usability.

  • Renaming the "View" option to "Preview" and optimizing the alignment of UI elements (plus recipe button, Preview, AI guide icon) below the side panel title enhances clarity and accessibility.

Redesigned Tenant and User Settings

Visual enhancements to the tenant and user settings pages, including a new background color and shadow effects, improve aesthetics and user experience.

Rapid Model Recipes

Prediction Job Enhancements:

Introduced future period option for timeseries problem types in prediction jobs, allowing users to define periods for future predictions. Frequency is determined by the corresponding time series recipe, providing flexibility and accuracy in forecasting.

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Last updated 3 months ago