# Knowledge Agent

## Why Knowledge Matters

Business users often require guidance on utilizing OvalEdge features, such as creating glossary terms, building data stories, or configuring watchlists. Traditionally, this requires searching manuals, consulting admins, or waiting for training.

askEdgi eliminates these delays by functioning as a knowledge agent. Trained on the OvalEdge knowledge base, it delivers clear, step-by-step answers to platform-related questions directly within the interface.

## What to Ask

* “How to create a business glossary term?”
* “How to create a Tag?”
* “How to add a table to a data story?”
* “How to request access to a dataset?”

AskEdgi responds with relevant guidance and links to deep-dive articles for the correct module.

### **How It Helps**

* Provides an embedded knowledge assistant inside the platform.
* Accelerates onboarding for new users.
* Reduces support tickets and admin dependency.
* Builds confidence in exploring all OvalEdge modules.

## Availability

* Public – Available (knowledge queries supported).
* SaaS – Available (knowledge queries supported).
* On-Prem – Available (knowledge queries supported).

***

Copyright © 2025, OvalEdge LLC, Peachtree Corners, GA USA<br>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.ovaledge.com/ai/askedgi/knowledge-agent.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.