Appendix
The appendix here provides answers to all questions added at the end of each chapter. Double-check your answers to verify that you have conceptually understood the key concepts.
Chapter 1, Why Retrieval Augmented Generation?
- Is RAG designed to improve the accuracy of generative AI models?
Yes, RAG retrieves relevant data to enhance generative AI outputs.
- Does a naïve RAG configuration rely on complex data embedding?
No, naïve RAG uses basic keyword searches without advanced embeddings.
- Is fine-tuning always a better option than using RAG?
No, RAG is better for handling dynamic, real-time data.
- Does RAG retrieve data from external sources in real time to enhance responses?
Yes, RAG pulls data from external sources during query ...
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