Details

The Bard project implements a conversational AI system structured around a Core AI Orchestration Service. This service is central to managing user interactions, routing queries, and processing responses. The User Interface Layer provides the interactive front-end, capturing user input and displaying AI-generated content. For AI model interactions, the Core AI Orchestration Service communicates with the External AI Integration Service, which handles all external API calls and data formatting. Conversational history and context are managed by the Conversation Data Store, which the Core AI Orchestration Service uses to persist and retrieve session data, ensuring continuity across interactions. This design promotes clear separation of concerns, with the orchestration service mediating all core data flows and external integrations.

User Interface Layer

Provides the primary interface for users to interact with the AI system, handling input capture, displaying AI-generated responses, and managing the interactive session.

Core AI Orchestration Service

Acts as the central point for managing conversational flow, routing user queries to the appropriate AI model, processing responses, and maintaining conversational context.

External AI Integration Service

Responsible for secure interaction with external AI services (e.g., Google Bard API), handling communication protocols, authentication, request formatting, response parsing, and initial provisioning/setup of AI clients.

Conversation Data Store

Manages the persistence and retrieval of conversational history and context, ensuring that ongoing conversations can maintain state across multiple interactions. This component typically interfaces with a managed database service.