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
  • Support For Secrets
  • Model Output Via Ask AI
  • Enhancements
  • Resolved Issues
  1. Additional Reading
  2. Release Notes

June 19, 2024

New Features

Support For Secrets

We have introduced the Secrets functionality in Admin settings, enabling admins to securely configure keys and assign encrypted values. Admins can view a list of all configured secrets within the Admin settings. These keys can be utilized within AskAI recipes' helper functions, automatically substituting them with their respective values once set up.

Model Output Via Ask AI

Added support for model output in AskAI, allowing users to generate specific types of models using the slash model option. AskAI intelligently produces insightful charts deemed important for the model. Users can seamlessly add generated models to recipes, run them, and subsequently create prediction services to facilitate predictions as usual.

Enhancements

Tenant Management: Users can now accept invited tenants directly from the tenant dropdown, streamlining the acceptance process.

Canvas Enhancements: Added "Expand All" and "Collapse All" options for easier node navigation on the canvas and job canvas page.

Dataset Page: Introduces a "Source" tab to view and edit SQL queries directly, with updates reflecting in the dataset automatically. Note: Editing queries may require rerunning the data flow and placing related recipes in an unbuilt state.

Fivetran Connectors: Enhanced with total table comparisons, record previews, and expanded sample data previews up to 50 rows and 50 columns. Users can access data during syncing.

AskAI Enhancements: Custom prompts, column name autocomplete, loader animations for query submissions, and plain-text error summaries are now supported.

Data Upload: Allows creation of empty artifacts, simultaneous uploading of multiple files via "Import Files from Local," and increased row limits to unlimited with support for up to 300 columns. File size displays now include two decimal places for consistency.

Rapid Model Recipe: Introduces "Freeze Columns" option for clustering and anomaly detection, along with "No Target Column" selection for anomaly detection and clustering. Numeric columns can now be selected as target columns for time series problems.

Revamped AI Guide Design: Includes a minimized icon, color updates, shadows for chat messages, and refreshed chat space background.

Resolved Issues

This release addresses several issues identified in previous versions:

AskAI Improvements:

  • Fixed issues with opening multiple AskAI outputs simultaneously.

  • Ensured AskAI queries continued running during tab switches, chats, or chat name changes.

  • Corrected logs displaying empty data during runs.

  • Resolved incorrect segment results in scenarios.

  • Fixed chat history moving to the top when renaming in AskAI.

  • Recipe names now display accurately in the logs screen.

  • Non-underscore columns in datasets now function properly in AskAI.

  • Improved error response handling in the Rapid Model Recipe.

Data Upload and Project Copy:

  • Fixed issues where using the back button during file import created unbuilt entities.

  • Resolved problems where copied projects displayed artifacts as unbuilt despite file additions.

  • Fixed errors encountered when appending files to existing datasets.

UI/UX Fixes:

  • Improved confirmation dialog UX when updating data connectors.

  • Fixed issues with AI guide and error messages in charts, models, and Rapid Model Recipe.

  • Ensured consistent behaviour of multi-select dropdown search boxes across modules.

  • Fixed UX issue when opening logs for recipes in an unbuilt state on a new tab.

Data Import Mode Handling:

Resolved issues where selecting multiple files in single file import mode caused errors by switching to segregate mode for successful completion.

Miscellaneous Fixes:

  • Addressed empty log issues during runs.

  • Fixed inappropriate segment results.

  • Ensured correct behaviour of confirmation dialogs when updating data connectors.

  • Corrected errors in AI guide messages for charts, models, and Rapid Model Recipe.

  • Updated AI guide messages for clarity.

  • Ensured empty datasets do not display data.

PreviousJuly 03, 2024NextMay 30, 2024

Last updated 3 months ago