Unlocking Data with Generative AI and RAG

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Using Prompt Engineering to Improve RAG Efforts

Pop quiz, what do you use to generate content from a large language model (LLM)?

A prompt!

Clearly, the prompt is a key element for any generative AI application, and therefore any retrieval-augmented generation (RAG) application. RAG systems blend the capabilities of information retrieval and generative language models to enhance the quality and relevance of generated text. Prompt engineering, in this context, involves the strategic formulation and refinement of input prompts to improve the retrieval of pertinent information, which subsequently enhances the generation process. Prompts are yet another area within the generative AI world that entire books can be written about. There are numerous ...