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
  • AI Guide for datasets, charts and models
  • AskAI DataApp
  • Enhancements
  • Dashboard Enhancements:
  • UI Improvements:
  • Info Messages:
  • Tenant Settings:
  • Copy Project:
  1. Additional Reading
  2. Release Notes

May 30, 2024

New Features

Following are the new features introduced in this release:

AI Guide for datasets, charts and models

This innovative functionality brings an intelligent assistant to comprehensively understand and collaborate with your data.

Interaction Enhancement: Access the AI Guide effortlessly by simply right-clicking on any dataset or model block on the canvas. The AI leverages the data within datasets, charts, or models to generate precise and insightful text responses.

Chat Capability: Engage in a seamless chat experience with the AI, querying and obtaining detailed insights about the data encapsulated within the selected component.

Chart Integration: For charts, the AI Guide option is easily accessible by clicking on the chart block on the canvas, seamlessly redirecting you to the dedicated charts page. Here, you can delve deeper into chart insights by clicking on the AI guide option, leading you to the AskAI chat page for detailed analysis.

Rapid Model Recipe: The AI Guide icon intelligently identifies the most suitable target column within the Rapid Model recipe, empowering users to make informed decisions based on comprehensive dataset analysis.

AskAI DataApp

This enhancement empowers users to develop DataApps independently, fostering seamless interaction with datasets and other nodes on the canvas.

Enhanced Flexibility: Users can now create DataApps within projects without the constraint of needing an associated model. This flexibility allows for the development of model-independent DataApps, streamlining workflow processes.

Seamless Interaction: DataApps created without a model can seamlessly interact with datasets and other nodes on the canvas, facilitating comprehensive data analysis and utilization.

Simple Creation Process: To create a DataApp, simply utilize the "Create AskAI DataApp" option. Upon creation, the AskAI DataApp chat page will open, enabling interaction with datasets already available in the project or the option to upload a new dataset. The chat functionality empowers users to ask questions and receive detailed responses about the datasets, facilitating the seamless creation of DataApps.

Enhancements

Dashboard Enhancements:

Job Status Indicator: Keep track of job statuses effortlessly with the newly added indicators displaying "scheduler active" or "scheduler paused" in the recent jobs section on the dashboard.

Search Bar: Find specific jobs and projects swiftly with the addition of a search bar on the dashboard, enhancing navigation and productivity.

UI Improvements:

Updated Icons: Experience refreshed visuals with updated icons for "Run recipe" and "test connector," enhancing clarity and aesthetic appeal.

Append File Window: Stay organized with the display of existing file names when appending files to datasets, facilitating efficient data management.

Expand/Collapse Canvas Blocks: Manage and maintain large Directed Acyclic Graphs (DAGs) effortlessly with the newly added expand (plus) and collapse (minus) buttons for each node on the canvas.

Info Messages:

Rapid Model Recipe: Gain valuable insights with added info messages for dataset and problem type fields in the Rapid model recipe. Receive guidance on multiclass classification limitations and recommended dataset sizes for optimal processing.

Tenant Settings:

Last Login Column: Stay informed about user activity with the inclusion of a "last login" column in the Users table on the Tenant Settings tab, providing visibility into each user's last login time.

Copy Project:

Same Vs Cross-Tenant Copy: Enjoy enhanced flexibility with the ability to copy projects to different tenants. Data security remains paramount, as connector-based datasets are transferred without data connector details, and artifacts/models are copied without including actual data.

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Last updated 3 months ago