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Description
RAG systems are a type of AI model that can be used for a variety of tasks, such as question answering and summarization. The article provides insights into the different parts of a RAG system and how to optimize its performance. To ensure effectiveness, the data used in a RAG system should be high-quality and relevant. Additionally, the way the data is indexed can significantly impact the system's output.
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