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The Hardest Problem in RAG... Handling 'NOT FOUND' Answers 🔍🤔
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First of All... What is RAG? 🕵️♂️
Retrieval-Augmented Generation (RAG) is an approach to natural language processing that references external documents to provide more accurate and contextually relevant answers. Despite its advantages, RAG faces some challenges, one of which is handling 'NOT FOUND' answers. Addressing this issue is crucial for developing an effective and reliable model that everyone can use.
Why 'NOT FOUND' Answers Can Be Concerning ⛔️
Some models respond with "hallucinations" when they cannot find an answer, creating …
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