Optimizing RAG with Better Data and Prompts

RAG (Retrieval-Augmented Generation) is a recent way to enhance LLMs in a highly effective way, combining generative power and real-time data retrieval. RAG allows a given AI-driven system to produce contextual outputs that are accurate, relevant, and enriched by data, thereby giving them an edge over pure LLMs. RAG optimization is a holistic approach that […]

Fonte: https://www.shaip.com/blog/rag-optimization-with-data-and-prompts/

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