Google Cloud GenAI Offerings (35%)
Grounding and RAG
KEY CONCEPTS
- →Grounding: Connecting responses to real data sources
- →RAG: Retrieval-Augmented Generation pattern
- →RAG steps: Retrieval → Augmentation → Generation
- →Vertex AI Search for enterprise search
- →Vector databases for semantic search
- →When grounding vs fine-tuning vs RAG
WHAT THE EXAM IS REALLY TESTING
Know the decision tree: Need current data? → Grounding/RAG. Need behavior change? → Fine-tuning. Need both? → Combine approaches.
COMMON TRAPS
- !Thinking RAG replaces fine-tuning
- !Not understanding grounding data freshness
- !Overcomplicating when simple grounding suffices
OFFICIAL DOCUMENTATION
PRACTICE QUESTIONS
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