How do you evaluate RAG quality?
By measuring Retrieval Recall (did you get the right context?) and Generation Faithfulness (did the LLM answer match the context?).
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More FAQs in What is Retrieval-Augmented Generation (RAG) in AI?
RAG is cheaper, faster, allows real-time data updates, and provides clear citations for answers without risk of hallucination.
The LLM does not search for information; it only reads the retrieved paragraphs and summarizes them into a clean answer.
Yes, RAG is widely used to build internal company chatbots that search corporate wikis and databases.
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