> For the complete documentation index, see [llms.txt](https://docs.ovaledge.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ovaledge.com/release7.2/ai/askedgi/knowledge-agent.md).
# 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
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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.
Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:
```
GET https://docs.ovaledge.com/release7.2/ai/askedgi/knowledge-agent.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.
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.