2. Core Components

2.1. Knowledge Base (KB): The Brain

The Knowledge Base acts as the repository for domain-specific knowledge and contextual understanding.

• Features:

  • Domain-specific datasets.

  • Retrieval-Augmented Generation (RAG) integration.

  • Continuous learning from user interactions.

• Integration Example:

  • For a real estate AIA, the KB stores market trends, property details, and location-specific insights.

2.2. Database (DB): The Heart

The Database ensures the flow of real-time and historical data to support decision-making.

• Features:

  • Live data storage for dynamic updates.

  • Transaction history and operational logs.

  • Secure and scalable architecture.

• Integration Example:

  • A crypto AIA uses the DB to fetch live cryptocurrency prices and user portfolio data.

2.3. Intelligence Management System (IMS): The Central Nervous System

The IMS orchestrates the interactions between the KB, DB, and CMS, leveraging LLMs for decision-making.

• Features:

  • Integration with open-source and proprietary LLMs.

  • Real-time decision-making and task execution.

  • Modular and adaptive logic systems.

• Integration Example:

  • For a travel AIA, the IMS evaluates user preferences and integrates with APIs to suggest personalized itineraries.

2.4. Content Management System (CMS): The Body

The CMS is the user-facing interface for interaction with the AIAs.

• Features:

  • Web and mobile interfaces.

  • Multimodal interaction capabilities (text, voice, visuals).

  • Customizable workflows and branding.

• Integration Example:

  • A maps AIA displays navigation, generative travel recommendations, and route optimization visually on the CMS.