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I want flexible queries, not RAG

There is a lot of excitement around retrieval augmented generation or “RAG.” Roughly the idea is: some of the deficiencies in current generative AI or large language models (LLMs) can b…

There is a lot of excitement around retrieval augmented generation or “RAG.” Roughly the idea is: some of the deficiencies in current generative AI or large language models (LLMs) can be papered over by augmenting their hallucinations with links, references, and extracts from definitive source documents. My mother remembers growing up with a Sicilian dish that was primarily rice baked in an egg mixture. It reminds me of the aphorism (from an early low point in combinatorial chemistry): “you don’t find the needle in the haystack by harvesting more hay.”

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