GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #6
A Generative AI Engineer is developing a RAG system for their company to perform internal document Q&A for structured HR policies, but the answers returned are frequently incomplete and unstructured.
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Question
A Generative AI Engineer is developing a RAG system for their company to perform internal document Q&A for structured HR policies, but the answers returned are frequently incomplete and unstructured. It seems that the retriever is not returning all relevant context. The Generative AI Engineer has experimented with different embedding and response generating LLMs but that did not improve results. Which TWO options could be used to improve the response quality? (Choose two.)
Options
- AAdd the section header as a prefix to chunks
- BSplit the document by sentence
- CUse a larger embedding model
- DIncrease the document chunk size
- EFine tune the response generation model
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