98 | Build AI Customer Support Agent with Google ADK | Firestore, RAG & Cloud Functions

This video demonstrates building a production-ready AI customer support agent using Google's Agent Development Kit (ADK) integrated with Google Cloud services. The solution leverages Firestore for data storage, RAG (Retrieval-Augmented Generation) for intelligent context retrieval, and Cloud Functions for serverless execution. The architecture enables automated customer support with real-time knowledge base access and scalable cloud infrastructure.

Key Points

• •Use Google ADK as the foundation for building intelligent agent applications with built-in LLM capabilities
• •Implement Firestore as the primary database for storing customer data, support tickets, and knowledge base documents
• •Integrate RAG (Retrieval-Augmented Generation) to enable agents to fetch relevant context from knowledge bases before generating responses
• •Deploy agent logic using Cloud Functions for serverless, auto-scaling execution without managing infrastructure
• •Design multi-turn conversation flows that maintain context across customer interactions
• •Implement vector embeddings and semantic search for intelligent document retrieval in RAG pipeline
• •Configure authentication and authorization to secure customer data and API endpoints
• •Monitor and log agent interactions using Cloud Logging for debugging and performance analysis
• •Create fallback mechanisms to escalate complex issues to human agents when needed
• •Test agent responses against common customer support scenarios before production deployment

Workflow Diagram

Concepts