RAG is the process of retrieving relevant contextual information from a data source and passing that information to a LLM alongside the user’s prompt. This information is used to improve the model’s output (generated text or images) by augmenting the model’s base knowledge.
RAG is the process of retrieving relevant contextual information from a data source and passing that information to a LLM alongside the user’s prompt. This information is used to improve the model’s output (generated text or images) by augmenting the model’s base knowledge. Read More Technology Blogs by SAP articles
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