Memory-Enhanced AI Support Architecture

Memory-Enhanced AI Support Architecture

How DeepSeek AI and Long-Term Memory Work Together

The Technical Blueprint:

  1. Telegram Integration: Customer inquiries arrive via webhook and undergo user validation
  2. Message Routing: Different handling for text, audio or image inputs
  3. Context Retrieval: The system pulls relevant customer history from Google Docs
  4. AI Processing: DeepSeek models (V3 Chat or R1 Reasoning) generate personalized responses
  5. 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.