- Added `aiknowledge_sync_utils.py` for provider-agnostic synchronization logic for CAIKnowledge entities, supporting both xAI and RAGFlow.
- Introduced lifecycle management for CAIKnowledge entities including states: new, active, paused, and deactivated.
- Implemented change detection using Blake3 hash for efficient document synchronization.
- Created `ragflow_service.py` to handle dataset and document management with RAGFlow API.
- Added daily cron job in `aiknowledge_daily_cron_step.py` to synchronize active CAIKnowledge entities with unclean or failed statuses.
- Developed `aiknowledge_sync_event_step.py` to process synchronization events from webhooks and cron jobs.
- Added AIKnowledgeActivationStatus and AIKnowledgeSyncStatus enums to models.py for managing activation and sync states.
- Introduced AIKnowledgeSync class in aiknowledge_sync_utils.py for synchronizing CAIKnowledge entities with XAI Collections, including collection lifecycle management, document synchronization, and metadata updates.
- Created a daily cron job (aiknowledge_full_sync_cron_step.py) to perform a full sync of CAIKnowledge entities.
- Developed an event handler (aiknowledge_sync_event_step.py) to synchronize CAIKnowledge entities with XAI Collections triggered by webhooks and cron jobs.
- Implemented a webhook handler (aiknowledge_update_api_step.py) to receive updates from EspoCRM for CAIKnowledge entities and enqueue sync events.
- Enhanced xai_service.py with methods for collection management, document listing, and metadata updates.
