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 ...

具体来说，ReRanker模型在RAG Pipeline中扮演着第二阶段的角色，即在初始检索步骤之后，对检索出的文档块chunks进行重新排序，以确保相关的文档块优先被传递给LLM进行处理。 什么是Reranker模型？

“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 ...

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。

DeepSeek与检索增强生成（RAG）技术的结合，为搭建本地知识库提供了强大的技术支持。DeepSeek+RAG本地知识库技术是一种结合深度求索（DeepSeek）大模型与检索增强生成（RAG）技术的创新方案 ...

This article explores four key methods—prompting LLMs, building retrieval-augmented generation (RAG) systems, fine-tuning LLMs and developing AI agents—and evaluates their role in shaping the ...

可配置的模块化RAG框架。 TrustRAG是一款配置化模块化的Retrieval-Augmented Generation (RAG) 框架，旨在提供可靠的输入与可信的输出 ，确保用户在检索问答场景中能够获得高质量且可信赖的结果。