Questions
Answer the following questions with Yes or No:
- Is RAG designed to improve the accuracy of generative AI models?
- Does a naïve RAG configuration rely on complex data embedding?
- Is fine-tuning always a better option than using RAG?
- Does RAG retrieve data from external sources in real time to enhance responses?
- Can RAG be applied only to text-based data?
- Is the retrieval process in RAG triggered by a user or automated input?
- Are cosine similarity and TF-IDF both metrics used in advanced RAG configurations?
- Does the RAG ecosystem include only data collection and generation components?
- Can advanced RAG configurations process multimodal data such as images and audio?
- Is human feedback irrelevant in evaluating RAG systems?
