NOTE: UPDATE UI FOR PHASED INTEGRATION WITH LLAMA STACK. CARD TO BE UPDATED.

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 Train/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.

Requirements:

1. Availability of Llama Stack API for 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.

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 Train/Generation workflow completed.
2. [ ] UI integration for RAG pipeline completed.

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.