RapidCanvas Docs
  • Welcome
  • GETTING STARTED
    • Quick start guide
    • Introduction to RapidCanvas
    • RapidCanvas Concepts
    • Accessing the platform
  • BASIC
    • Projects
      • Projects Overview
      • Canvas overview
      • Recipes
        • AI-assisted recipe
        • Rapid model recipe
        • Template recipe
        • Code Recipe
        • RAG Recipes
      • Scheduler overview
      • 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
    • Artifacts & Models
    • Environments
  • ADVANCED
    • Setup and Installation
      • Installing and setting up the SDK
    • Notebook Guide
      • Notebook User Guide
      • Create a template
      • Code Snippets
      • DataApps_new
      • Introduction
      • Prediction_service
    • How to
      • Add a dataset
      • How to Authenticate
      • Manage cloud connection
      • Code recipes
      • Display a template on the UI
      • Create a Custom Environment
      • Create Global Variables
      • jobs
      • Create a new project
      • Add a recipe to the dataset
      • Create new scenarios
      • Create Template
      • Use a template in a flow notebook
    • Reference Implementations
      • DataApps
      • Artifacts
      • DataSources
      • DataSources
      • Feature Store
      • ML model
      • ML Pipeline
      • Multiple Files
    • Sample Projects
      • Model build and predict
      • buildingasolution
    • FAQ
      • FAQs
  • Additional Reading
    • Release Notes
      • 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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  1. Additional Reading

Release Notes

Feb 27, 2025Jan 27, 2025Dec 26, 2024Nov 26, 2024Oct 24, 2024Sep 11, 2024Aug 29, 2024July 18, 2024July 03, 2024June 19, 2024May 30, 2024May 15, 2024April 17, 2024Mar 28, 2024Mar 20, 2024Feb 28, 2024Feb 19, 2024Jan 30, 2024Jan 16, 2024Dec 12, 2023Nov 07, 2023Oct 25, 2023Oct 01, 2024
PreviousFAQsNextFeb 27, 2025

Last updated 17 days ago

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