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本文主要围绕DB-GPT应用开发框架如何在实际落地场景做RAG优化。 背景 在过去两年中，检索增强生成（RAG，Retrieval-Augmented Generation）技术逐渐成为 ...

“She was just a rag doll who never had absolute power.” Instead he blames the army itself and the Mogh Baghi – a common term used by refugees for the Arakan Army, the most powerful Buddhist ...

To succeed, the medical facility must overcome the limitations of retrieval-augmented generation (RAG). That’s the process by which large language models (LLMs) pull information from specific ...

Recipes to power (and refuel you after) your weekend adventures. By Sam Sifton Ixta Belfrage’s porcini ragù, adapted by Ligaya Mishan.Credit...Linda Xiao for The New York Times. Food stylist ...

此索引不仅包括节点（例如实体），还包括边（例如关系）和协变量（例如声明）。通过这种方法，Graph RAG能够更好地捕捉文本之间的关联，并支持对大规模文本集合的全局理解和摘要。

That’s where Retrieval-Augmented Generation (RAG) pipelines come in, offering a structured way to retrieve and generate meaningful responses. But even RAG pipelines have their limits—until now.

RAG通过引入外部知识库，检索相关信息来增强模型的输出，从而解决这些问题。 在AI应用爆发的时代，RAG（Retrieval-Augmented Generation，检索增强生成）技术正逐渐成为AI 2.0时代的“杀手级”应用。

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