1

Foundation

Months 1-3

• AnalyticDB-PG vector database setup
• SharePoint/Confluence connectors
• Basic RAG API implementation
• Prototype UI for testing

2

Core Features

Months 4-6

• Hybrid search with Elasticsearch
• Knowledge Portal v1 launch
• Additional connector refinements
• RBAC integration with Azure AD

3

Enhancement

Months 7-9

• Knowledge graph (GDB) integration
• Content freshness detection
• Analytics via SLS
• User feedback loop

4

Optimization

Months 10-12

• AI maintenance agent
• Performance tuning
• Full legacy tool migration
• Enterprise-wide rollout