Q: 15
In a RAG system, you need to select an appropriate retriever to fetch relevant documents from a large
corpus before generating an
Your Answer
Discussion
Looks like a pretty standard RAG scenario from recent exam reports. D fits best here for semantic similarity. Definitely check the official guide and the Watsonx labs if you want similar context questions.
D is the right fit. In Watsonx RAG use cases, vector-based retrievers shine when you care about semantic similarity, not just keywords. Saw a similar question in practice-definitely about matching meaning, not exact terms.
Be respectful. No spam.
