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
  • Enhancements
  • Bug fixes
  1. Additional Reading
  2. Release Notes

Nov 07, 2023

New features

Prediction Service

A prediction service on top of a model can now be created and modified from the UI

Once the service is created, users also have the ability to test it by passing data as a CSV file or JSON

Additional information on how users can call the endpoint is provided within the UI

Enhancements

UI/UX Enhancements

Navigation Redesign: The left navigation menu has been restructured to align with a business user flow. The 'Data Connectors' module is now prominently positioned at the top for easier access, and other modules have been intuitively grouped based on their usage

User Interface Improvements: A series of UI enhancements have been implemented such as canvas icon changes, and error log changes to provide a smoother and more intuitive experience for our users.

Caching: Caching has been introduced across a few pages in the platform to improve load times

Data Analysis Tab Renaming: The 'EDA' tab within the Data view has been rebranded as 'Data Analysis' for clearer function representation.

Data Connectors Updates

Module Renaming: The 'Data Sources' module is now called 'Data Connectors' to more accurately represent its expanded capabilities, including the import and export of datasets. This change is consistent across the platform.

Support for Fivetran Connectors in Job run: Users can configure Job runs that import datasets directly from Fivetran

Edit Functionality for Fivetran Connectors: Users can now easily edit Fivetran connector configurations, accessing authentication pages, and manage connection fields, datasets, and jobs with a user-friendly interface.

New 'Dataset' and 'Jobs' Tabs: Two new tabs, 'Dataset' and 'Jobs', have been added to the data connectors' interface to get additional information regarding source and destination datasets and associated jobs.

Projects Improvements

Canvas Save Button: A 'Save' button has been introduced on the canvas to lock in changes when rearranging the data pipeline, along with helpful tooltips for the Directed Acyclic Graph (DAG) view options.

Mandatory Tags for Templates: Tags are now required when creating or updating templates to facilitate easier sorting and organization of system templates.

Revamped Dataset Creation Window: The single file upload process has been refined and is now termed 'single file import', with the selection for this option set as the default.

GitHub and Notebook Integration

GitHub Integration: Hosted Notebooks now feature integrated GitHub credentials for seamless code management.

Bug fixes

We have addressed a comprehensive list of issues to improve your experience:

Segment Condition Update: Adjusting segment conditions now accurately updates the associated scenarios.

Data Upload Failures: The issue causing data upload failures during environment launches has been resolved.

Recipe Timeout Adjustments: The timeout field in recipes no longer accepts '0' and defaults to a minimum of 2 hours.

Error Messaging Clarity: Enhanced error messages now display when running tests in environments that failed to launch.

Auto AI Bug Fixes: All identified issues with Auto AI have been resolved.

Miscellaneous Fixes

Visual and Textual Enhancements: Alignment, text display, and color notification issues within the UI have been addressed.

Enhanced Validations: Additional checks have been implemented for segment creation and naming conventions.

API and Backend Enhancements: Numerous backend changes have been implemented to improve the robustness and reliability of our services.

PreviousDec 12, 2023NextOct 25, 2023

Last updated 3 months ago