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
        • Viewing and Managing the Environment Status
      • Recipes
        • AI-assisted recipe
        • Rapid model recipe
        • Template recipe
        • Code Recipe
        • RAG Recipes
        • Viewing & Managing a Recipe from the Canvas
      • 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
      • Viewing options in the side panel of a dataset block
      • Configuring Destination Details for Output Datasets
      • 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
      • Super Admin Management
    • 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
    • MLflow
  • Additional Reading
    • Release Notes
      • June 09, 2025
      • 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
  • Ask AI -Updates
  • Notifications
  1. Additional Reading
  2. Release Notes

April 17, 2024

New Features

Following are the new features introduced in this release:

Ask AI -Updates

Enhanced Query Functionality:

Users can now send queries and receive responses related to datasets, enabling more comprehensive analysis and insights.

User Feedback:

Introducing thumbs up and down buttons to provide feedback on generated results, fostering interaction and facilitating algorithm refinement for more accurate responses.

Dataset Pinning:

New capability to pin datasets, enabling focused analysis. Pinning a dataset ensures that all subsequent Ask AI recipe runs are performed exclusively on the pinned dataset.

Syntax Assistance:

Added a Sample Syntax option in the Code tab, allowing users to easily copy sample syntax for datasets, charts, artifacts, and models, streamlining query creation and execution.

Improved Visualization:

Clicking on a dataset in the Inputs section now displays a separate card showcasing columns with their respective data types, enhancing data understanding and exploration.

Slash Options:

Type "/" in the query field to specify the desired output type, whether it's a dataset, chart, or text. Access prompt suggestions for streamlined query formulation and execution.

Notifications

Project Job Runs Notifications:

Stay informed about the status of your project job runs with timely notifications. Receive updates on job progress and completion

EDA Information Updates:

Keep track of exploratory data analysis (EDA) information updates with notifications that alert you to changes in dataset insights and analysis results.

AI Summary Generation:

Receive notifications upon the generation of AI summaries, providing insights into model performance, key metrics, and recommendations. Stay informed about AI model evaluations and enhancements.

Snippet Generation Notifications:

Get notified when snippets are generated, providing quick access to code snippets and examples for streamlined development and analysis tasks. Enhance your productivity with instant access to relevant code snippets.

Environment Relaunches:

Stay informed about environment relaunches with notifications that alert you to changes in your development environment. Ensure seamless transitions and continuity in your workflow.

PreviousMay 15, 2024NextMar 28, 2024

Last updated 3 months ago