NCA-GENL Question 161
Single answerA company wants to implement a system that assists customer service agents by summarizing customer inquiries and retrieving relevant articles from a knowledge base to provide quick responses. Which type of LLM use case would be best suited for this scenario?
- A
Retrieval-Augmented Generation (RAG)
- B
Chatbot
- C
Summarizer
- D
Sentiment Analysis
Show answer and explanation
Correct answer: A
Explanation
The scenario requires both retrieving relevant knowledge base articles and summarizing customer inquiries, which are core functionalities of Retrieval-Augmented Generation (RAG). RAG combines information retrieval with the generative capabilities of LLMs to create accurate, contextually relevant responses.
- A. Correct.
Retrieval-Augmented Generation (RAG) is designed to retrieve relevant information from external knowledge sources and generate tailored responses, making it ideal for assisting customer service agents with knowledge-based tasks.
- B. Incorrect.
While a chatbot can provide conversational interfaces, it does not inherently retrieve external knowledge or summarize inquiries, which are the key requirements in this scenario.
- C. Incorrect.
A summarizer is useful for condensing text or inquiries but does not handle the retrieval of relevant articles from a knowledge base.
- D. Incorrect.
Sentiment analysis focuses on identifying the emotional tone of text, which is not relevant to the task of summarizing inquiries and retrieving articles.