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features.md

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Features of AI Assistant System

Frontend User Interaction Features

  1. Registered User Login
    • Allows users to log in for personalised interactions.
  2. Guest Login
    • Enables non-registered users to interact with limited functionalities.
  3. AI Assistant Chat Interface
    • Provides a conversational interface for interacting with the assistant.
  4. Streaming AI Assistant Responses
    • Delivers real-time response streaming for smoother interactions.

Backend Services

  1. AI Backend API Service
    • Central API layer for managing requests and orchestrating responses.
  2. Routing Requests to the AI Agents
    • Routes user queries to the appropriate AI agents for processing.
  3. Session Management Service
    • Manages user sessions for maintaining context in multi-turn conversations.
  4. Sending Requests to Responsible AI ML Ops Monitoring Platform
    • Ensures all requests are logged and monitored for compliance and ethical standards.

Customer Support Features

  1. Customer Support Supervisor
    • Oversees and escalates unresolved issues to fallback mechanisms or human support.
  2. Order Processing Agent
    • Handles order status retrieval, tracking, and return eligibility queries.
  3. Order Database
    • Stores and retrieves order-related information in real time.

Product Features

  1. Product Supervisor
    • Delegates product-related tasks to specialized agents.
  2. Product Attribute Agent
    • Retrieves product specifications, pricing, and availability.
  3. Product Comparison & Recommendation Agent
    • Provides personalised product comparisons and recommendations.
  4. Product Statistics Agent
    • Offers statistical insights such as average ratings and popular items.
  5. Product Database
    • Central repository of product information for real-time access.

Content Processing

  1. Content Refinement Service
    • Refines and structures responses for user-friendly presentation.

Fallback and Exit Management

  1. Fallback Agent
    • Redirects unresolved queries to human support or alternative agents.
  2. Exit Handler
    • Ensures smooth termination of user sessions with proper summary or follow-ups.

Responsible AI and ML Ops

  1. Responsible AI Monitoring Service
    • Monitors AI interactions to ensure compliance with ethical guidelines.
  2. Fine-Tuned Dataset
    • Provides optimized datasets for training and improving the AI assistant.
  3. Responsible AI Evaluation Pipelines
    • Validates AI responses for accuracy, bias, and ethical compliance.
  4. Data Sanitization Pipeline
    • Cleans and preprocesses input data for model training and operations.
  5. LLM Fine-Tuning Pipeline
    • Fine-tunes language models to improve performance and adapt to new data.
  6. Responsible AI Dashboards
    • Visualizes AI performance metrics, bias reports, and operational insights.
  7. Responsible AI Alerts
    • Sends notifications for potential issues such as ethical violations or system failures.