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iBx ChatGPT
1. OpenAI-Based Document and Knowledge Management ChatGPT
iBx ChatGPT is an enterprise Generative AI Knowledge Management (KMS) chatbot built on Microsoft Azure OpenAI and Azure Data Platform Fabric.
Running directly within Microsoft Teams, it integrates and standardizes dispersed internal corporate documents and knowledge assets to deliver accurate natural language Q&A.
2. Organization Administrator Features
The organization administrator features integrate with Microsoft Entra ID (Azure AD) to manage user registrations, organizational unit hierarchies, detailed content searches, and document uploads.
3. Document Management and Learning Features
Uploaded corporate documents are automatically indexed and learned, with intuitive features to browse and manage learned documents by organizational unit.
4. Knowledge Search Features
Provides accurate natural language responses grounded in the company's learned internal knowledge database in response to employee queries.
5. Document Search Features
Displays the list of referenced internal source files cited in each answer and manages the complete history of user questions and responses.
6. System Architecture Diagram
Combines Azure OpenAI Service, Microsoft Fabric, Microsoft Entra ID, and Microsoft Teams into a secure, scalable enterprise knowledge management architecture.
Frequently Asked Questions (FAQ)
Q. What technology platform powers iBx ChatGPT?
iBx ChatGPT is an enterprise Generative AI Knowledge Management System (KMS) chatbot built on Microsoft Azure OpenAI and Azure Data Platform (Microsoft Fabric), running directly within Microsoft Teams.
Q. How are user permissions and internal document security managed?
It integrates with Microsoft Entra ID (Azure AD) to manage user and organizational unit registrations, allowing learned documents to be accessed according to organizational hierarchy while tracking citation sources and Q&A history.
Q. How does iBx ChatGPT learn and retrieve corporate knowledge?
When internal documents are uploaded, the system automatically standardizes and learns the content, delivering accurate natural language answers along with referenced source files in response to employee queries.