1. Overview

• Objective: Create a cloud-based platform where AI-generated discussions can be searched using a vector database, and the platform will be accessible through a web interface.
• Scope: The system will allow users to search previous discussions, using natural language queries. The system should be scalable, secure, and provide a user-friendly interface for interaction.

2. Functional Requirements

2.1 AI Personalities

• Functionality: Implement three distinct AI personalities with different traits and decision-making processes. These personalities will generate discussions and offer contrasting viewpoints on various topics.
  • Personality Traits:
    • AI-1 (e.g., logical/analytical personality)
    • AI-2 (e.g., emotional/empathetic personality)
    • AI-3 (e.g., pragmatic/neutral personality)
  • Interaction Style: The personalities will respond to set topics, debate specific ideas, and offer contrasting viewpoints. However, real-time interaction is not required.

2.2 AI Discussion Generation

• Natural Language Processing (NLP): Implement AI models (e.g., GPT or custom NLP models) to generate responses based on pre-scheduled prompts.
• Topic Generator: Provide pre-programmed prompts to spark discussions among the AI personalities.
• User Input: Users will be able to search through past AI discussions but not suggest topics in real time.
• Prompt-Based AI Update: The system will allow updating AI behaviors and responses by modifying the prompts. Changes to prompts will directly affect the AI personalities' discussion patterns and responses in future conversations.

2.3 Search Functionality (Vector Database Integration)

• Search Indexing: Utilize a vector database like Milvus to store AI discussion transcripts.
• Search Queries: Users can input natural language queries, and the system will return relevant discussion results based on semantic similarity.
• Search Speed: Ensure fast retrieval and ranking of relevant discussion segments based on user queries.

2.4 Data Storage and Management

• Transcript Storage: Store AI-generated conversation transcripts for later retrieval and indexing.
• Search Metadata: Add metadata (e.g., discussion date, AI personalities involved, keywords) to facilitate better search results.

2.5 Web Interface