feat: Implement AI Knowledge Sync Utilities and RAGFlow Service

- 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.

services/config.py

@@ -336,3 +336,52 @@ def is_retryable_status_code(status_code: int) -> bool:
         True wenn retryable
     """
     return status_code in API_CONFIG.retry_status_codes
+
+
+# ========== RAGFlow Configuration ==========
+
+@dataclass
+class RAGFlowConfig:
+    """Konfiguration für RAGFlow AI Provider"""
+
+    # Connection
+    base_url: str = "http://192.168.1.64:9380"
+    """RAGFlow Server URL"""
+
+    # Defaults
+    default_chunk_method: str = "laws"
+    """Standard Chunk-Methode: 'laws' optimiert fuer Rechtsdokumente"""
+
+    # Parsing
+    auto_keywords: int = 14
+    """Anzahl automatisch generierter Keywords pro Chunk"""
+
+    auto_questions: int = 7
+    """Anzahl automatisch generierter Fragen pro Chunk"""
+
+    parse_timeout_seconds: int = 120
+    """Timeout beim Warten auf Document-Parsing"""
+
+    parse_poll_interval: float = 3.0
+    """Poll-Interval beim Warten auf Parsing (Sekunden)"""
+
+    # Meta-Fields Keys
+    meta_blake3_key: str = "blake3_hash"
+    """Key für Blake3-Hash in meta_fields (Change Detection)"""
+
+    meta_espocrm_id_key: str = "espocrm_id"
+    """Key für EspoCRM Document ID in meta_fields"""
+
+    meta_description_key: str = "description"
+    """Key für Dokument-Beschreibung in meta_fields"""
+
+    @classmethod
+    def from_env(cls) -> 'RAGFlowConfig':
+        """Lädt RAGFlow-Config aus Environment Variables"""
+        return cls(
+            base_url=os.getenv('RAGFLOW_BASE_URL', 'http://192.168.1.64:9380'),
+            parse_timeout_seconds=int(os.getenv('RAGFLOW_PARSE_TIMEOUT', '120')),
+        )
+
+
+RAGFLOW_CONFIG = RAGFlowConfig.from_env()