Databricks Generative AI Engineer Associate Question 68
Select 3You are designing a Retrieval-Augmented Generation (RAG) application to help customer support agents answer product-related questions. Which source documents should you prioritize to ensure the application provides accurate and high-quality responses?
- A
Product manuals and technical documentation
- B
Internal support tickets and their resolutions
- C
Random customer reviews from social media
- D
Frequently Asked Questions (FAQs) and knowledge base articles
- E
Competitor product specifications
Show answer and explanation
Correct answers: A, B, D
Explanation
For a RAG application to provide accurate and high-quality responses, it is crucial to use trustworthy, relevant, and well-structured documents. Product manuals, internal support tickets, and FAQs are highly relevant and reliable sources for a customer support use case, as they directly address common questions and provide precise information about the products and their issues. Random social media reviews and competitor specifications lack the structure, relevance, and accuracy required for this application.
- A. Correct.
Product manuals and technical documentation are essential for providing accurate and detailed product-related information, which is critical for a reliable RAG application.
- B. Correct.
Internal support tickets and their resolutions contain real-world questions and answers that can help the system understand common customer issues and their solutions.
- C. Incorrect.
Random customer reviews from social media are often unstructured, noisy, and may lack accuracy, making them unsuitable as a high-quality source for a RAG application.
- D. Correct.
Frequently Asked Questions (FAQs) and knowledge base articles are curated and well-structured, providing reliable and commonly sought information for the RAG application.
- E. Incorrect.
Competitor product specifications may not be relevant or accurate for answering specific questions about your own products, so they are not a suitable source of knowledge in this scenario.