Getting Started Guide
This document outlines the access requirements, deployment scope, interface structure, workspace configuration, dataset management, analysis execution processes, AI enrichment workflows, sharing capabilities, monitoring features, usage tracking, system limits, and troubleshooting procedures for the askEdgi platform across Public, SaaS, and On-Prem environments.
askEdgi enables natural language-based interaction with datasets, supporting metadata discovery, analytical execution, reusable workflows, and workspace-driven analytics without requiring coding.
askEdgi Platform Capabilities
askEdgi supports the following functional areas
Natural language-driven analytics
Workspace-based dataset organization
Metadata discovery and profiling
Analytical query execution
Chat-based conversation tracking
Recipe creation for reusable workflows
AI-powered data enrichment
Usage monitoring and workspace health tracking
Deployment Editions and Feature Scope
Supported Deployment Variants
Edition
Access Method
Core Capabilities
Limitations
Public Edition
Public askEdgi URL with self-service signup
Discovery and Analysis modes on public datasets and uploaded files. Analysis Mode is the default primary mode.
Subscription and plan limits
SaaS Data Analytics
OvalEdge environment with SSO or enterprise login
Full workspace analytics on catalog tables, connectors, and uploaded files
Tenant configuration dependent
SaaS Metadata Analytics
OvalEdge environment with SSO
Metadata analytics via OvalEdge-1 connector
No file uploads or raw data analysis
On-Prem
Hosted in internal infrastructure
Catalog search, profiling, metadata recipes, lineage
No file upload analysis or cloud AI enrichment
Access Requirements and Prerequisites
Public Edition Requirements
Active account with a valid subscription
Browser access to askEdgi
Log in through the public askEdgi URL with a trial or personal plan
Support for Discovery and Analysis modes on public and uploaded datasets. Analysis Mode is the default interaction mode.

SaaS Edition Requirements
Access through the organizational OvalEdge tenant
Authentication using SSO or enterprise credentials
Full analysis in the Data Analytics tenants
Metadata-only insights in Metadata Analytics tenants
On-Prem Requirements
Hosted within internal infrastructure
Limited to metadata analytics such as
Catalog search
Profiling
Metadata recipes
File-based analysis and cloud AI enrichment are unavailable
Initial Login and Landing Experience
Landing Screen Options
Option
Purpose
Mode
Watch a Demo
Embedded demonstration of workspace and analysis
Read only
Take a Tour
Interactive walkthrough of UI elements
Read only
Skip Guidance
Direct entry into the workspace
Interactive

AI Assistant Interface Structure
The primary interface contains
Chat input panel
Mode selector for Analysis and Discovery
Response panel displaying summaries, tables, and charts
Side panel listing My Chats, Recipes, Workspace objects, and sharing tools in Public Edition.

Interface Layout and Functional Areas
Area
Function
Description
Chats Panel
Conversation tracking
Stores prompts, responses, filters, and artifacts
Query Panel
Query execution
Displays text, tables, and charts
My Workspace Panel
Dataset management
Stores uploaded files and catalog datasets
Profile and Settings Bar
Account controls
Provides access to My Usage, Manage Subscription, and Workspace Status
Query Interpretation Modes
Discovery Mode
Retrieves metadata such as tables, columns, glossary terms, governance information, and profiling summaries
Supports structured catalog exploration and asset validation
Does not execute data analysis
Does not use Retrieval Augmented Generation
Insights are metadata-based only
Available across all editions, with scope dependent on deployment configuration
Analysis Mode
Default and primary mode
Uses Retrieval Augmented Generation to retrieve enterprise context before execution
Validates dataset relationships and required attributes
Executes analytical queries on workspace datasets
Produces tables, summaries, and visualizations
Available in Public and SaaS Data Analytics editions
Not supported in Metadata Analytics and On-Prem editions

Asking Questions and Chat Context Handling
Mode-Based Example Queries
Mode
Example
Discovery
Find the sales orders table and show its description, owner, and data quality score
Analysis
Show total orders and average order value by month
Analysis Mode operates within a workspace-first execution boundary. Execution occurs only on pinned or eligible workspace datasets unless additional governed assets are required for validation.
Chat Context Behavior
Each interaction runs inside a chat
Chat stores
Dataset selection
Filters
Pinned objects
Previous responses
Follow-up queries reuse existing context
Context resets when a new chat starts
Important: Chat persistence enables progressive refinement without repeating dataset selection.
Adding Data to My Workspace
askEdgi requires datasets to exist in My Workspace before analysis. Data can be added through file upload or by selecting datasets from the Data Catalog, and it becomes immediately available for search, preview, and AI analysis.
Workspace Availability by Edition
Public Edition supports uploaded files and public datasets
SaaS Data Analytics supports uploaded files and catalog tables
SaaS Metadata Analytics supports catalog metadata only
On-Prem supports metadata only and does not allow file upload analysis
Uploading Files to Workspace
Supported Editions
Public Edition
SaaS Data Analytics
File Upload Steps
Navigate to My Workspace
Select Files to open the upload modal
Drag and drop or browse a local file

Wait for automatic validation
Confirm the file appears in the workspace object list
Upload Constraints
Constraint
Value
Supported Formats
CSV, PQT Parquet, XLSX, JSON
Maximum File Size
Up to 1 GB
Validation
Automatic format and size checks
Important: Unsupported formats or oversized files must be converted or reduced before upload.
Using Uploaded Files
Files can be referenced in Analysis mode
Queries can reference file names directly
Adding Catalog Objects to Workspace
Supported Editions
SaaS Data Analytics
SaaS Metadata Analytics
Steps
Open My Workspace
Click Catalog

Search or filter available objects
Browse using Explore Resources if required
Select objects using checkboxes
Click Add

Access and Validation Rules
Rule
Behavior
Minimum Permission
Data Read required
Unauthorized Objects
Hidden
Duplicate Objects
Blocked
Workspace Limits
Partial addition with warning
Live Query Execution
Live Query Execution allows askEdgi to run queries directly on supported source systems instead of ingesting data into the workspace. This improves performance and supports near real-time analysis.
Execution Behavior
askEdgi selects the execution environment automatically based on data location and efficiency.
Workspace Execution — runs inside the workspace when data is ingested.
Source Execution — runs directly on the source system when live connections are configured.
Constraints
Live and imported datasets cannot be analyzed together.
Mixed execution is blocked until datasets are moved to the same environment.
AI enrichment and transformations require workspace ingestion.
Organizing Workspace Content
Folder Management
Navigate to askEdgi > Workspace.
Click the three-dot menu beside Imported Objects.
Select Create a Folder.

Enter the desired folder name.
Click the tick mark icon to save and create the folder.

Folder names must
Be unique
Contain 1 to 256 characters
Use allowed characters only
Moving Objects
Steps to Move Objects
Select one or more objects in the workspace.
Drag and drop them into the desired folder.
Objects are automatically sorted alphabetically within the folder.

Move Objects modal for bulk moves
Removing All Objects from Workspace
Click Remove All from Workspace.
Confirm the action in the pop-up window.
All folders and objects will be removed from the workspace.

Pinning Behaviour
When an object inside a folder is pinned, only that object is moved to the top of the folder.
The entire folder does not move to the top of the workspace.
Note: Pinned objects move to the top within their folder only.
Initiate Analysis Focus
Locate the pin icon labeled "Pin to focus your analysis" adjacent to each file or data catalog object within the workspace.
Select the pin icon for each relevant item to focus analysis on that specific dataset.

Pinning Datasets for Focused Analysis
Pin Function
Each dataset has a Pin icon
Pinning ensures correct dataset selection
Pin Behavior
Analysis restricted to pinned datasets
Cross-dataset analysis is allowed only among pinned objects
Unpinning restores automatic dataset selection
Important: Pinning is recommended when incorrect dataset selection occurs.
Chats and Conversation Management
Chat Storage
Chats preserve
Prompts
Responses
Filters
Dataset selection
Analysis results
Chat Navigation
The interface displays a chronological list of all previous user interactions with the AI assistant.
Access the conversation history panel to view past chats.
Chats are organized with the most recent interaction at the top.
Chat Reactivation
Users can reopen any prior conversation Chat to continue their analysis from a previous point.
Select a specific Chat from the history list.
The chat interface reloads the complete conversation context, allowing for new follow-up questions.
Chat-to-Recipe Conversion
This function allows for the transformation of an existing conversation Chat into a reusable Recipe.
Select the conversion option from the menu of a saved Chat.
The system automatically preserves the analytical logic, queries, and configuration from the conversation.
Open the Chats panel and select the desired conversation Chat.
Click the 'Save as Recipe' option for the selected Chat to configure the Recipe.
Share recipes with internal teams or publish to the Marketplace.


Chats are displayed in reverse chronological order
Selecting a chat reloads the prior context
Context persists until a new chat starts
Important: Recipe execution follows deterministic behavior. Execution stops immediately when an error occurs and displays the exact error. Automatic retries or runtime corrections are not applied. If required inputs are missing, the system presents a controlled discovery step before execution.
Recipe Publishing
Public Edition supports Marketplace publishing
Enterprise SaaS supports internal sharing
Running an Initial Analysis
Standard Workflow
Add at least one dataset
Pin dataset
Analysis Mode is selected by default. Users may switch to Discovery Mode when metadata exploration is required.
Enter analysis query
Review generated tables and charts
Refine using follow-up questions
Sample Refinements
Filter to the last six months
Show only the top five product categories by revenue
Exporting Results
Tabular results downloadable as CSV
Export subject to format and size limits
Important: On-Prem and Metadata Analytics editions restrict insights to metadata only.
AI-Based Dataset Enrichment
Supported Editions
Public Edition
SaaS Data Analytics
Supported Enrichment Types
Category
Examples
Calculated Columns
Return rate, profit margin
Classification
High, Medium, Low segmentation
Text Analytics
Sentiment, intent, emotion
Example Enrichment Flow
Create a return rate column using returns divided by orders multiplied by one hundred
Classify products into High, Medium, and Low based on thresholds
Sharing Results Public Edition Only
Sharing Steps
Open an AskEdgi conversation Chat.
Click the Share Chat button located in the Chat header.
A pop-up modal will appear.
Select one of the following options:
Copy Link: Copies the shareable URL to the clipboard.
Post on LinkedIn: Opens a pre-filled LinkedIn post with the link.
Post on Reddit: Opens a pre-filled Reddit draft with the link.

Upon generating the link, a confirmation toast appears: “Link copied successfully.”
Sharing Behavior
Shared chats display in read-only mode
Charts and tables appear as static visuals
Original chat remains editable
Monitoring Workspace Health
Workspace Status Indicators
Status
Meaning
Connected
Workspace active
Restarting
Reload in progress
Disconnected
Workspace unavailable
Workspace Control Actions
Action
Function
View Logs
Displays recent activity and errors
Reload or Restart
Restarts DuckDB session and clears cache
Upgrade
Increases memory, CPU, and table limits
Note: Uploaded files remain intact after restart.
Workspace and Subscription Limits
Workspace Object Limits
Partial dataset addition when limits are reached
Warning messages displayed
Plan and Spend Limits
Limit Type
Behavior
Public Plan
AI or compute tasks are paused when thresholds are reached
Enterprise Quotas
Organization-level usage tracking
Important: Corrective actions include removing objects, reducing workload size, or adjusting subscription plans.
Tracking Usage and Costs
Public Edition Usage
Click the Profile icon on the top navigation bar.
Select My Usage from the profile options.

My Usage
The My Usage feature in askEdgi provides a comprehensive summary of module consumption and associated costs. It enables organizations to monitor and analyze resource utilization across four key components:
Recipes: Tracks the usage and associated costs of executed recipes.
AI Tokens: Track AI processing usage.
AI Enrichment: Monitor system enrichment usage.
Compute: Infrastructure usage and associated compute costs.
Hover to view historical monthly usage
Subscription Management
Click the Profile icon on the top navigation bar.
Select Manage Subscription from the profile options.

Review Plans, Usage, Earnings, Billing
Enterprise Usage
Open Profile icon
Select My Usage
Review aggregated organization usage
Note: Detailed reports require administrator access.
Troubleshooting Common Issues
Issue
Cause
Resolution
Dataset not found
Missing dataset or no access
Add a dataset or request permission
Workspace limit reached
Maximum objects exceeded
Remove objects or upgrade
Empty results
Incorrect dataset or missing fields
Verify pinned dataset and column names
Slow workspace
Performance issues
Reload workspace or check logs
Recipe failure
Missing datasets or permission issues
Verify dataset availability, permissions, and inputs. Execution stops immediately when validation fails. Correct the issue and rerun.
Important: Execution logs should be reviewed before applying corrective actions.
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