GENERATIVE-AI-LEADER · Question #75
A large e-commerce company with a vast and frequently updated product catalog finds that customers struggle to find products on their website, and support agents spend too much time finding detailed…
The correct answer is C. Pre-built RAG with Vertex AI Search. Vertex AI Search with pre-built RAG (Retrieval-Augmented Generation) is designed for exactly this scenario: it indexes large, frequently updated document/product corpora and grounds LLM responses in that data, improving search accuracy for both customers and support agents…
Question
A large e-commerce company with a vast and frequently updated product catalog finds that customers struggle to find products on their website, and support agents spend too much time finding detailed product information. The company wants to improve search accuracy and efficiency for both customers and support. What Google Cloud solution should they use?
Options
- AVertex AI Conversation
- BVertex AI Natural Language API
- CPre-built RAG with Vertex AI Search
- DVertex AI Model Garden
How the community answered
(22 responses)- A5% (1)
- B14% (3)
- C77% (17)
- D5% (1)
Explanation
Vertex AI Search with pre-built RAG (Retrieval-Augmented Generation) is designed for exactly this scenario: it indexes large, frequently updated document/product corpora and grounds LLM responses in that data, improving search accuracy for both customers and support agents without requiring custom model training. Vertex AI Conversation (A) focuses on dialogue management. Natural Language API (B) analyzes text but does not power search over a product catalog. Vertex AI Model Garden (D) is a repository for discovering and deploying foundation models, not a search solution.
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