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
  • Edit in Notebook Option for API Connector Recipes
  • Access Control in DataApps
  • DataApps Powered by Jobs
  • Bulk Project Deletion via Bulk Actions
  • Logs for Test Recipes
  • Enhancements
  • Introduced Lottie Animations for Page Loading
  • Introduced Keyboard Shortcuts for Testing and Running Recipes
  • Create Button on DataApps Card and List Pages
  • Automatic State Change to Unbuilt for Recipe Updates
  • View Code for Text Responses in AskAI
  • Stop Button for Recipe Testing
  • Conditions Tab in API Connector Recipes
  • Incomplete Response Option for AskAI Feedback
  • Streamlined DataApp Configuration
  • OpenAI GPT-4o as the Default Model for DataApps
  • Revamped DataApp Card
  • View Code and Explain Options for AskAI Responses in DataApps
  • Updated Launch Icons for DataApps
  • Multi-Table Selection for SQL Source DataApps
  • Two Run Options on Canvas
  • Numerical Indicators for Jobs and DataApps
  • Dynamic Prompt Bubbles in AI Guide
  • Dashboards Now Display DataApps
  1. Additional Reading
  2. Release Notes

Dec 26, 2024

New Features

Following are the new features introduced in this release:

Edit in Notebook Option for API Connector Recipes

What’s New:

You can now use the Edit in Notebook option for API Connector recipes. This feature enables you to directly open the Jupyter Notebook editor preloaded with the default code, offering greater flexibility for customizations.

Key Features:

  • Open API Connector recipes in Jupyter Notebook with preloaded default code.

  • Modify the code to align with your unique business needs.

  • Save changes back to the recipe seamlessly.

  • Execute the updated code within the data pipeline without extra steps.

Why It’s Helpful:

This feature provides enhanced customization capabilities, empowering you to tailor API interactions to meet specific requirements while ensuring smooth integration into your data workflows.

Access Control in DataApps

What’s New:

Access Control settings are now available for all input types in DataApps, offering improved flexibility in managing who can view chats and charts within a DataApp.

Access Options:

  • Team Access: All users in the tenant can view and interact with chats and charts created within the DataApp.

  • Individual Access: Limits visibility to each user’s own chats and charts within the DataApp. In collaborative scenarios, users only see their own contributions.

Why It’s Helpful:

This feature promotes seamless collaboration while providing granular control over the visibility of your work, ensuring a secure and personalized experience for all users.

DataApps Powered by Jobs

What’s New:

Jobs are now available as a new input type for DataApps, allowing you to select a specific job from your project’s job list and query its inputs and outputs using AskAI. This provides a dynamic and flexible way to interact with job results directly within DataApps.

Key Features:

  • Single Job Selection: Each DataApp supports one job at a time. To enable selection and querying, ensure the job has successfully run and its datasets are in a built state.

  • Consistent Settings: Existing configurations such as response caching, model selection, access control, security, and model controls remain unaffected by this new feature.

  • Seamless Navigation: After creating a job-based DataApp, you are directed to the AskAI interface to query the selected job’s input datasets, output datasets, and generated reports.

Job Charts Tab Features:

  • Chart Generation: Displays charts generated from the latest job run.

  • Run Frequency and Timestamp: View the run frequency and timestamp of the last successful job run.

  • Easy Integration: Use the "Add Charts from Job" button to seamlessly incorporate generated charts into the Job Charts tab. Multiple charts can be selected if available.

  • Conditional Availability: Job Charts will only be visible if the data pipeline produces chart outputs.

Bulk Project Deletion via Bulk Actions

What’s New:

We’ve introduced a Bulk Actions button on the project listing page, enabling users to delete multiple projects simultaneously.

Key Features:

  • Bulk Selection: Select multiple projects from the listing page.

  • Efficient Deletion: The Bulk Actions button appears when multiple projects are selected, allowing you to delete them in a single action.

  • Time-Saving: Streamlines project management by reducing the effort required for individual deletions.

Why It’s Helpful:

This feature simplifies project management and saves valuable time, especially for users managing numerous projects at scale.

Logs for Test Recipes

What’s New:

Logs are now available for test runs of AI-assisted, template, and API connector recipes, providing detailed insights into the execution process.

Key Features:

  • View Logs for Test Runs: Access detailed logs for each test run directly from the recipe interface.

  • Insights and Diagnostics: Logs include information about execution errors, output data, and performance metrics, aiding in debugging and optimization.

    • Export logs as text files for easier review and sharing.

    • Open logs in a new tab for real-time and detailed analysis, similar to logs during regular recipe execution.

Why It’s Helpful:

This feature enhances transparency and debugging capabilities for recipe test runs, making it easier to identify issues, monitor performance, and share findings with your team.

Enhancements

Introduced Lottie Animations for Page Loading

What’s New:

Lottie animations are now incorporated across the platform to enhance the user experience. These animations make page loading visually engaging and provide a more interactive way to indicate processing status.

Why It’s Helpful:

Lottie animations create a smoother and more polished interface, improving user satisfaction during page transitions or processing delays.

Introduced Keyboard Shortcuts for Testing and Running Recipes

What’s New:

We’ve added keyboard shortcuts to streamline testing and running recipes across AskAI, Template, and API Connector recipes, improving workflow efficiency.

Key Shortcuts:

  • Ctrl+T (Cmd+T on Mac): Test a recipe.

  • Ctrl+R (Cmd+R on Mac): Run a recipe.

Note: The Test Recipe (Ctrl+T) option is unavailable for the Rapid Model recipe, as this recipe type does not support testing functionality. However, you can still use Ctrl+R (Cmd+R) to run the recipe.

Why It’s Helpful:

These shortcuts speed up the recipe testing and execution process, making pipeline development faster and more productive while reducing reliance on manual clicks.

Create Button on DataApps Card and List Pages

What’s New:

You can now create DataApps directly from the DataApps Card and List Pages using the new Plus (+) button.

Key Features:

  • Quick Access: A Plus (+) button is available on both the DataApps Card and List Pages for easy DataApp creation.

  • Project Selection: Clicking the button opens a list of available projects for selection.

  • Flexible Options: After selecting a project, you’ll be directed to the Configuration Page, where you can choose to create:

    • A Model DataApp

    • Various types of Custom DataApps

Why It’s Helpful:

This enhancement streamlines the process of creating DataApps, saving time and providing a seamless way to launch new projects directly from the DataApps overview pages.

Automatic State Change to Unbuilt for Recipe Updates

Any changes made to a recipe, such as renaming, updating metadata, or modifying the template, will automatically set the recipe’s state to unbuilt. This ensures users are aware that the recipe needs to be rebuilt before execution, preventing errors and ensuring a smooth workflow.

View Code for Text Responses in AskAI

Code is now generated for text responses in AskAI, allowing for better transparency and understanding of the responses provided.

Stop Button for Recipe Testing

A Stop button is now available when testing AskAI, Template, and API Connector recipes. This allows users to halt the recipe execution mid-run, offering better control over recipe testing and resource usage.

Conditions Tab in API Connector Recipes

A Conditions tab has been added to API Connector recipes, displaying global variables associated with the project. This simplifies applying conditions directly within the code.

Incomplete Response Option for AskAI Feedback

A new Incomplete Response sub-option has been added under the Thumbs Down feedback button in AskAI, allowing users to report incomplete responses, improving feedback quality.

Streamlined DataApp Configuration

The Configuration Page has been removed, and Model and Custom DataApps have been consolidated under a unified Inputs Section, providing a more intuitive and streamlined experience for managing DataApp inputs.

OpenAI GPT-4o as the Default Model for DataApps

The OpenAI GPT-4o model is now set as the default model for all input types in DataApps.

Revamped DataApp Card

The DataApp card has been redesigned for a cleaner, more intuitive interface, with field names replaced by easily recognizable icons.

View Code and Explain Options for AskAI Responses in DataApps

  • View Code: Displays the underlying code for the generated output.

  • Explain: Provides a detailed explanation of the output to enhance transparency and understanding.

Updated Launch Icons for DataApps

The DataApp icon displayed on the launch page has been updated for a refreshed and consistent visual experience.

Multi-Table Selection for SQL Source DataApps

SQL Source DataApps now support selecting multiple tables (up to four) simultaneously, allowing for more comprehensive data querying and analysis.

Two Run Options on Canvas

Two new run options have been added:

  • Run: Executes the pipeline with the current dataset.

  • Run with Reload Datasets: Reloads the latest datasets from connectors before executing the pipeline.

Numerical Indicators for Jobs and DataApps

The red dots used as indicators for Jobs and DataApps are replaced with numerical indicators showing the exact count of Jobs and DataApps created for the project.

Dynamic Prompt Bubbles in AI Guide

Prompt Bubbles in the AI Guide now dynamically adjust based on your query, enhancing the relevance and guidance provided.

Dashboards Now Display DataApps

Users can now view their DataApps directly on the dashboards, improving navigation. A search functionality has been added to help you quickly find specific DataApps.

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Last updated 3 months ago