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In the rapidly changing world of generative AI today, it is essential to be able to come up with answers that are accurate and relevant to the situation. But as these models have become more complicated, a major flaw has shown itself: you can't use outside information sources to make their results better and more factual.

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Overview of Retrieval-Augmented Generation (RAG)

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  • 发表日期：

    2025年

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  • Avik Bhattacharjee

摘要

In the rapidly changing world of generative AI today, it is essential to be able to come up with answers that are accurate and relevant to the situation. But as these models have become more complicated, a major flaw has shown itself: you can't use outside information sources to make their results better and more factual.