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Story 1.4: Core AI Integration Setup #13

@zishanjawed

Description

@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)

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    aiAI/ML featuresbackendBackend developmentepic-1Epic 1: Foundation & Core Infrastructurepriority-p0Critical priority - must be done firststoryUser story

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