Product Docs
  • What is Dataworkz?
  • Getting Started
    • What You Will Need (Prerequisites)
    • Create with Default Settings: RAG Quickstart
    • Custom Settings: RAG Quickstart
    • Data Transformation Quickstart
    • Create an Agent: Quickstart
  • Concepts
    • RAG Applications
      • Overview
      • Ingestion
      • Embedding Models
      • Vectorization
      • Retrieve
    • AI Agents
      • Introduction
      • Overview
      • Tools
        • Implementation
      • Type
      • Tools Repository
      • Tool Execution Framework
      • Agents
      • Scenarios
      • Agent Builder
    • Data Studio
      • No-code Transformations
      • Datasets
      • Dataflows
        • Single Dataflows:
        • Composite dataflows:
        • Benefits of Dataflows:
      • Discovery
        • How to: Discovery
      • Lineage
        • Features of Lineage:
        • Viewing a dataset's lineage:
      • Catalog
      • Monitoring
      • Statistics
  • Guides
    • RAG Applications
      • Configure LLM's
        • AWS Bedrock
      • Embedding Models
        • Privately Hosted Embedding Models
        • Amazon Bedrock Hosted Embedding Model
        • OpenAI Embedding Model
      • Connecting Your Data
        • Finding Your Data Storage: Collections
      • Unstructured Data Ingestion
        • Ingesting Unstructured Data
        • Unstructured File Ingestion
        • Html/Sharepoint Ingestion
      • Create Vector Embeddings
        • How to Build the Vector embeddings from Scratch
        • How do Modify Existing Chunking/Embedding Dataflows
      • Response History
      • Creating RAG Experiments with Dataworkz
      • Advanced RAG - Access Control for your data corpus
    • AI Agents
      • Concepts
      • Tools
        • Dataset
        • AI App
        • Rest API
        • LLM Tool
        • Relational DB
        • MongoDB
        • Snowflake
      • Agent Builder
      • Agents
      • Guidelines
    • Data Studio
      • Transformation Functions
        • Column Transformations
          • String Operations
            • Format Operations
            • String Calculation Operations
            • Remove Stop Words Operation
            • Fuzzy Match Operation
            • Masking Operations
            • 1-way Hash Operation
            • Copy Operation
            • Unnest Operation
            • Convert Operation
            • Vlookup Operation
          • Numeric Operations
            • Tiles Operation
            • Numeric Calculation Operations
            • Custom Calculation Operation
            • Numeric Encode Operation
            • Mask Operation
            • 1-way Hash Operation
            • Copy Operation
            • Convert Operation
            • VLookup Operation
          • Boolean Operations
            • Mask Operation
            • 1-way Hash Operation
            • Copy Operation
          • Date Operations
            • Date Format Operations
            • Date Calculation Operations
            • Mask Operation
            • 1-way Hash Operation
            • Copy Operation
            • Encode Operation
            • Convert Operation
          • Datetime/Timestamp Operations
            • Datetime Format Operations
            • Datetime Calculation Operations
            • Mask Operation
            • 1-way Hash Operation
            • Copy Operation
            • Encode Operation
            • Page 1
        • Dataset Transformations
          • Utility Functions
            • Area Under the Curve
            • Page Rank Utility Function
            • Transpose Utility Function
            • Semantic Search Template Utility Function
            • New Header Utility Function
            • Transform to JSON Utility Function
            • Text Utility Function
            • UI Utility Function
          • Window Functions
          • Case Statement
            • Editor Query
            • UI Query
          • Filter
            • Editor Query
            • UI Query
      • Data Prep
        • Joins
          • Configuring a Join
        • Union
          • Configuring a Union
      • Working with CSV files
      • Job Monitoring
    • Utility Features
      • IP safelist
      • Connect to data source(s)
        • Cloud Data Platforms
          • AWS S3
          • BigQuery
          • Google Cloud Storage
          • Azure
          • Snowflake
          • Redshift
          • Databricks
        • Databases
          • MySQL
          • Microsoft SQL Server
          • Oracle
          • MariaDB
          • Postgres
          • DB2
          • MongoDB
          • Couchbase
          • Aerospike
          • Pinecone
        • SaaS Applications
          • Google Ads
          • Google Analytics
          • Marketo
          • Zoom
          • JIRA
          • Salesforce
          • Zendesk
          • Hubspot
          • Outreach
          • Fullstory
          • Pendo
          • Box
          • Google Sheets
          • Slack
          • OneDrive / Sharepoint
          • ServiceNow
          • Stripe
      • Authentication
      • User Management
    • How To
      • Data Lake to Salesforce
      • Embed RAG into your App
  • API
    • Generate API Key in Dataworkz
    • RAG Apps API
    • Agents API
  • Open Source License Types
Powered by GitBook
On this page
  • Registering with non-Google email ID
  • Registering with Google SSO
  • Inviting a User
  1. Guides
  2. Utility Features

User Management

PreviousAuthenticationNextHow To

Last updated 1 month ago

This document describers different ways to create and invite users to a tenant/account. User can be registerd on Dataworkz platform in one of the following ways.

  • Registering with email ID other than google

  • Registering with Google SSO

  • inviting a user

Registering with non-Google email ID

Goto Dataworkz RAG application ()

  • Click on create account link. It will open the Sign-up page

  • enter username

  • enter user's email ID

  • enter name of the tenant/account that you would like to create and click "Check Availability" to see if iti availalble

  • click "Accept terms and conditions"

  • click Sign up. This would generate an email for the provided email ID

  • Goto the email received and click "Complete Registration"

  • It will prompt you to enter the email for verification. Enter email ID and click "Submit and Continue"

  • Check your email and enter the received verification code in the screen above

  • Set your password

  • This step would complete the registration process. You can login with the email and the password created above

Registering with Google SSO

  • Click on the Google icon to login using Google SSO

Inviting a User

After login to Dataworkz click the "View All Tenants" dropdown

List of all the tenants in the system is displayed

  • Click the "users" button against the tenant. It pops up "Manage Access" screen

  • Add Full Name of the user and email ID. Click "Add User" to send the invite.

  • Invited user would have have to do one of the following.

    • If user has already registered, email received would be about accepting invite. User needs to click "Accept Invitation" link in the received email.

  • Post accepting, user would be logged into the system

Goto Dataworkz RAG application ()

If user isn't registered with Dataworkz, email received would be about completing registration. User needs to click "Compelete Registration" and follow the steps listed in the for non-google user or for google users.

https://ragapps.dataworkz.com/
Registration
Registration
https://ragapps.dataworkz.com/