Databricks Certified Generative AI Engineer Associate — Question 15

A Generative AI Engineer has been asked to build an LLM-based question-answering application. The application should take into account new documents that are frequently published. The engineer wants to build this application with the least cost and least development effort and have it operate at the lowest cost possible.
Which combination of chaining components and configuration meets these requirements?

Answer options

• A. For the application a prompt, a retriever, and an LLM are required. The retriever output is inserted into the prompt which is given to the LLM to generate answers.
• B. The LLM needs to be frequently with the new documents in order to provide most up-to-date answers.
• C. For the question-answering application, prompt engineering and an LLM are required to generate answers.
• D. For the application a prompt, an agent and a fine-tuned LLM are required. The agent is used by the LLM to retrieve relevant content that is inserted into the prompt which is given to the LLM to generate answers.

Correct answer: A

Explanation

Option A is correct because it describes a combination of components that efficiently integrates a retriever with an LLM, allowing for low-cost and low-effort development while handling new documents effectively. Option B is incorrect as it focuses solely on updating the LLM, which does not address the application structure needed. Option C omits the retriever component, which is crucial for integrating new information. Option D introduces an agent and a fine-tuned LLM, which increases complexity and cost, contrary to the requirements for minimal development effort and expense.