# Conversation & Feedback Management

## Overview
The Conversation & Feedback Management feature enables users to interact with the Enterprise Brain using natural language queries. It ensures that conversations are context-aware and provides mechanisms for users to rate responses.

## Responsibilities
- Maintain conversation context across sessions.
- Enable natural language queries for data retrieval.
- Provide feedback mechanisms for users to rate responses.

## Technical Specifications

### Context Management
- **Session Tracking**: Maintain user session data to ensure context-aware responses.
- **Data Storage**: Store conversation history in the `conversation_logs` table.

### Feedback Mechanism
- **Rating System**: Allow users to rate responses on a scale of 1 to 5.
- **Feedback Storage**: Store feedback in the `feedback_logs` table for analysis.

### Error Handling
- Log errors during conversation processing for debugging and observability.

## User Roles and Permissions

### Administrators
- Monitor conversation logs and feedback data.
- Configure settings for conversation context and feedback mechanisms.

### Regular Users
- Interact with the Enterprise Brain using natural language queries.
- Provide feedback on responses.