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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  • What is RapidCanvas?
  • Getting Started
  • Key Features
  • Support & Community
  • Explore More

Welcome

NextQuick start guide

Last updated 1 month ago

Welcome to RapidCanvas Documentation

Welcome to the official documentation portal for RapidCanvas—your comprehensive resource for building and deploying AI solutions quickly and easily. Whether you're a business user or a technical professional, our basic and Notebook guides and tutorials will help you unlock the full potential of our platform.


What is RapidCanvas?

RapidCanvas is an enterprise-grade, no-code AI platform that empowers teams to transform raw data into actionable insights. With an intuitive visual canvas, built-in AI agents, and seamless integration capabilities, RapidCanvas streamlines the process of creating, testing, and deploying machine learning models and data pipelines.


Getting Started

Start your journey with RapidCanvas by exploring our key documentation areas:


Key Features

  • Intuitive Visual Canvas: Create and manage AI workflows using our drag-and-drop interface. See the Canvas Overview for more details.

  • AI Agents & AskAI: Get real-time guidance and generate code recipes with our conversational AI assistants.

  • Rapid Deployment: Build, test, and launch custom AI solutions in minutes—no advanced coding skills required. See the Rapid model recipe for more details.

  • Seamless Data Integration: Connect effortlessly to multiple data sources, including databases, cloud storage, and APIs. See Connectors for more details.

  • Scalable & Secure: Designed for organizations of any size with enterprise-grade security and compliance.


Support & Community

We’re here to help! If you have any questions or need assistance, contact support


Explore More

Discover additional resources to enhance your RapidCanvas experience:

  • Tutorials: Step-by-step guides to master key features on the platform.

  • Case Studies: Learn how leading organizations are leveraging RapidCanvas for business transformation.


Quick Start Guide

Learn how to sign in, navigate the dashboard, and kickstart your first project.

User Guide: Basic

Detailed tutorials and walkthroughs for using every feature of the platform.

Notebook Guide

Integrate RapidCanvas with your applications using our robust API documentation.

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