
Memory-Enhanced AI Support Architecture
How DeepSeek AI and Long-Term Memory Work Together
The Technical Blueprint:
- Telegram Integration: Customer inquiries arrive via webhook and undergo user validation
- Message Routing: Different handling for text, audio or image inputs
- Context Retrieval: The system pulls relevant customer history from Google Docs
- AI Processing: DeepSeek models (V3 Chat or R1 Reasoning) generate personalized responses
- Memory Management: New interactions are automatically documented for future context
This architecture works across channels while maintaining a single source of truth for customer context, enabling truly personalized interactions without requiring agents to search through previous conversations.