GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #90
A Generative AI Engineer is building a RAG application that answers questions about internal documents for the company SnoPen AI. The source documents may contain a significant amount of irrelevant co
Sign in or unlock GENERATIVE-AI-ENGINEER-ASSOCIATE to reveal the answer and full explanation for question #90. The question stem and answer options stay visible for context.
Question
A Generative AI Engineer is building a RAG application that answers questions about internal documents for the company SnoPen AI. The source documents may contain a significant amount of irrelevant content, such as advertisements, sports news, or entertainment news, or content about other companies. Which approach is advisable when building a RAG application to achieve this goal of filtering irrelevant information?
Options
- AKeep all articles because the RAG application needs to understand non-company content to
- BInclude in the system prompt that any information it sees will be about SnoPenAI, even if no data
- CInclude in the system prompt that the application is not supposed to answer any questions
- DConsolidate all SnoPen AI related documents into a single chunk in the vector database.
Unlock GENERATIVE-AI-ENGINEER-ASSOCIATE to see the answer
You've previewed enough free GENERATIVE-AI-ENGINEER-ASSOCIATE questions. Unlock GENERATIVE-AI-ENGINEER-ASSOCIATE for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.