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
Powered by GitBook
On this page
  • New Features
  • Editable Recipe Code in Rapid Model Recipe for Data Scientists
  • Introduced Prediction Service Input Type in Custom DataApp
  • Table Settings in Ask AI for DataApp
  • Support for Azure OpenAI GPT-4o and Anthropic Claude 3.5 Sonnet (Beta)
  • Enhancements
  • Enhanced Usability: Sticky Search and Scrollable Cards
  • Custom DataApp Layout Changes
  • Canvas Nodes List in Ask AI Recipe
  • Support for Auto-Suggestions in Ask AI Recipe and API Connector Recipe
  • File Upload Enhancements for Documents and PDFs
  • Sticky Scrollbars for Datasets in Ask AI
  • Invite Multiple Users at Once
  1. Additional Reading
  2. Release Notes

Oct 01, 2024

New Features

Editable Recipe Code in Rapid Model Recipe for Data Scientists

Overview: Introducing the Recipe Code feature, allowing data scientists to edit model recipes directly within a Jupyter notebook interface.

Key Benefits:

  • Modify code to fit specific project requirements.

  • Save changes seamlessly integrated into the data pipeline.

  • Run pipelines with updated recipes to observe changes in output.

Impact: This flexibility simplifies the model fine-tuning process, enhances model performance, and effectively addresses specific use cases.

Introduced Prediction Service Input Type in Custom DataApp

Overview: A new input type for prediction services has been added to Custom DataApps.

Key Benefits:

  • Users can select a pre-configured prediction service linked to their project directly from the Ask AI page.

  • Simplifies AI model integration into custom applications.

  • Users can query AI models without manual setup, enabling quick access to insights.

Impact: Enhances ease of use, allowing users to obtain relevant AI predictions efficiently.

Table Settings in Ask AI for DataApp

Overview: Enhanced table settings within the Ask AI feature of DataApps.

Key Benefits:

  • Users can manage datasets more effectively by selecting or deselecting columns via checkboxes.

  • Columns can be reordered to improve data presentation.

Impact: Facilitates a more personalized and user-friendly experience, especially when working with large datasets, allowing users to focus on the most relevant information for their analyses.

Support for Azure OpenAI GPT-4o and Anthropic Claude 3.5 Sonnet (Beta)

Overview: Expanded support for advanced querying with Azure OpenAI GPT-4o and Anthropic Claude 3.5 Sonnet (beta).

Key Benefits:

  • Enhanced capabilities for querying datasets from project canvas, custom-uploaded datasets, or SQL sources in Custom DataApps.

  • Generates more accurate and insightful responses to complex queries.

Impact: Offers users deeper, refined AI-powered insights, improving overall data analysis capabilities.

This update empowers users to work more seamlessly with different data formats and maintain better control over how their data is utilized, making it easier to create secure, tailored AI-driven insights.

Enhancements

Enhanced Usability: Sticky Search and Scrollable Cards

Overview: The DataApp now features scrollable data cards on projects, environments, and connectors pages, with fixed search and filter options at the top.

Key Benefits:

  • Navigate large datasets without losing sight of search criteria.

  • Improved usability with a more intuitive interface.

Impact: Enhances the user experience by simplifying item searches.

Custom DataApp Layout Changes

Overview: The custom configuration page layout in DataApps has been revamped for better organization.

Key Benefits:

  • Sections are rearranged for streamlined navigation.

  • Environment selection is restored, with the default pre-selected environment.

Impact: Provides greater flexibility in choosing the environment for DataApps, tailoring them to specific project needs.

Canvas Nodes List in Ask AI Recipe

Overview: The Ask AI Recipe feature now includes an expandable canvas nodes list.

Key Benefits:

  • View all entities (datasets, models, recipes, artifacts) by clicking the view icon.

  • Quick access to components with entities opening in new tabs.

  • Users can review and modify generated code via the canvas node list.

Impact: Enhances workflow efficiency and customization capabilities for data scientists.

Support for Auto-Suggestions in Ask AI Recipe and API Connector Recipe

Overview: Auto-suggestion capabilities are now available in the Code tab of the Ask AI /API connector ecipe.

Key Benefits:

  • Suggestions for file names, artifacts, and methods while typing.

  • Speeds up coding and reduces errors.

Impact: Guides users to write functional and optimized code more efficiently.

File Upload Enhancements for Documents and PDFs

Overview: Expanded support for document uploads in DataApps now includes text and markdown files alongside DOCX, DOC, and PDF formats.

Impact: Increases flexibility for document inputs and improves error handling.

Sticky Scrollbars for Datasets in Ask AI

Overview: The scrollbars for dataset selection now apply only to the dataset list, keeping the search bar sticky.

Key Benefits:

  • Maintains visibility of search options while scrolling through large datasets.

Impact: Improves navigation for a seamless user experience.

Invite Multiple Users at Once

Overview: Admins can now invite multiple users simultaneously by entering multiple email addresses in a single input field.

Key Changes:

  • Email addresses can be separated by commas or spaces.

  • The input field on the "Invite Users" page has been renamed from "User Email" to "User Emails" for clarity.

Impact: This update significantly streamlines the onboarding process, allowing admins to invite large groups of users quickly and efficiently, enhancing overall user management.

PreviousOct 25, 2023NextGlossary

Last updated 3 months ago