# askEdgi
Data-driven organizations depend on timely, accurate, and context-rich insights to guide strategic and operational decisions. While most AI analysis tools can answer questions about specific datasets, they often operate in isolation from one another and lack awareness of business definitions, governance frameworks, and the broader enterprise data environment. As a result, users face challenges in finding the right data, applying the correct business context, and transforming information into actionable insights.
askEdgi addresses these challenges as a conversational AI assistant embedded within the OvalEdge platform. It understands metadata, governance structures, and organizational knowledge assets, enabling contextual and governance-aware responses.
The assistant offers capabilities that extend beyond standard AI analysis, including:
* **Metadata Search**: Retrieve tables, columns, glossary terms, reports, and APIs using natural language queries.
* **Knowledge Agent Support**: Guide platform functionality and workflows based on documentation and training resources.
* **Data Analysis**: Explore and analyze datasets directly in the Workspace without requiring SQL or BI tools.
* **AI Enrichment Functions**: Generate calculated columns, perform sentiment and intent analysis, and classify text data.
* **Recipe Creation and Reuse**: Capture analytical workflows in reusable formats for repetition, collaboration, or Marketplace publishing (in Public deployments).
By bridging AI-powered analysis with platform-native knowledge, askEdgi accelerates discovery, improves data-driven decision-making, and ensures that insights remain aligned with governance policies and business context.
***
Copyright © 2026, OvalEdge LLC, Peachtree Corners, GA USA
---
# 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/release8.1/askedgi/askedgi.md?ask=
```
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.