Feature Overview:

This feature aims to deliver enhancements user-friendly interface for RHEL AI, enabling subject matter experts (SMEs) to utilize the platform without requiring extensive machine learning or AI background knowledge.

Goals:

1. Integrate the Tarin/Generation workflow into the RHEL AI UI.
2. Integrate the RAG pipeline into the RHEL AI UI.
3. Integrate analytics into the RHEL AI UI.
4. Overhaul the knowledge form with automatic context selection and auto question/answer pair generation for user review.
5. (stretched goal) Explore Keycloak for authentication in the RHEL AI UI.

Requirements:

1. Availability of iLab REST API for final deliverable integration.
2. Availability of the RAG pipeline stack in RHEL AI for UI integration.
3. Completion of the discussion around models for context selection and question generation.
4. Successful exploration and implementation of Keycloak for authentication.

Background:

The current RHEL AI platform lacks a user-friendly interface for SMEs, making it difficult for them to utilize the platform's features without extensive machine learning or AI knowledge. This feature aims to address this issue by providing an intuitive UI that simplifies the use of RHEL AI's Tarin/Generation workflow, RAG pipeline, and analytics.

Done:

1. [ ] UI integration for Tarin/Generation workflow completed.
2. [ ] UI integration for RAG pipeline completed.
3. [ ] Analytics integration completed.
4. [ ] Knowledge form overhaul with automatic context selection and auto question/answer pair generation completed.
5. [ ] RHEL AI system level authentication
6. [ ] Keycloak exploration and implementation for authentication completed.

Questions to Answer:

1. Are there any additional considerations for the Keycloak integration in the RHEL AI UI?

Out of Scope:

1. [ ] Integration of advanced machine learning or AI features into the RHEL AI UI.
2. [ ] Customization of the RHEL AI UI for individual SMEs.

Customer Considerations:

1. The RHEL AI UI should be intuitive and easy to use for SMEs without requiring extensive machine learning or AI knowledge.
2. The UI should provide clear instructions and feedback to users.