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Question 1 of 20
5%
RAG & Retrieval
easy
A customer support bot at Razorpay must answer queries from internal documentation. RAG is chosen over fine-tuning. What is the primary reason for this choice?
A
RAG eliminates hallucinations entirely by grounding every response in retrieved source documents
B
RAG lets the system access up-to-date documents at inference time without retraining the model
C
RAG always produces lower latency than fine-tuned models because vector search is faster than inference
D
RAG avoids any vector database because documents are retrieved using keyword matching alone
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