Oracle Cloud Infrastructure 2025 Generative AI Professional 1z0-1127-25 Question # 13 Topic 2 Discussion
1z0-1127-25 Exam Topic 2 Question 13 Discussion:
Question #: 13
Topic #: 2
How does the integration of a vector database into Retrieval-Augmented Generation (RAG)-based Large Language Models (LLMs) fundamentally alter their responses?
A.
It transforms their architecture from a neural network to a traditional database system.
B.
It shifts the basis of their responses from pretrained internal knowledge to real-time data retrieval.
C.
It enables them to bypass the need for pretraining on large text corpora.
D.
It limits their ability to understand and generate natural language.
RAG integrates vector databases to retrieve real-time external data, augmenting the LLM’s pretrained knowledge with current, specific information, shifting response generation to a hybrid approach—Option B is correct. Option A is false—architecture remains neural; only data sourcing changes. Option C is incorrect—pretraining is still required; RAG enhances it. Option D is wrong—RAG improves, not limits, generation. This shift enables more accurate, up-to-date responses.
OCI 2025 Generative AI documentation likely details RAG’s impact under responsegeneration enhancements.
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