How does the integration of a vector database into Retrieval-Augmented Generation (RAG)-based Large Language Models...

Comprehensive and Detailed In-Depth Explanation:

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.