Story 1.4: Core AI Integration Setup

[zishanjawed]

Story 1.4: Core AI Integration Setup

As a developer, I want the core AI services integrated into the platform, so that we can begin implementing AI-powered features.

Acceptance Criteria:

• OpenAI API integration is configured and tested
• Azure AI Services connection is established
• Qdrant vector database is set up and connected
• AI service health monitoring is implemented
• Rate limiting and error handling for AI APIs is configured
• AI service configuration is environment-based
• Basic AI processing pipeline is established

Integration Verification:

• IV1: AI services are accessible and responding
• IV2: Vector database operations work correctly
• IV3: AI processing pipeline handles errors gracefully

Technical Requirements:

• OpenAI API integration
• Azure AI Services integration
• Qdrant vector database setup
• Health monitoring for AI services
• Rate limiting and error handling
• Environment-based configuration
• AI processing pipeline

Dependencies:

• Story 1.3 (Document Upload and Storage)

Priority: P0 (Critical for MVP)