传统RAG系统在处理纯文本应用场景中已展现出显著效果，然而现实世界的信息载体往往呈现多模态特征。文档中普遍包含图像、表格、图表等承载关键信息的视觉元素，这些多模态内容的有效处理正是多模态RAG系统的核心价值所在。 多模态RAG最优方案选择 经过 ...

Rag系统它通过结合信息检索和自然语言生成技术，显著提高了信息处理的效率和准确性。然而，随着应用的深入，Rag系统的局限性也逐渐显现。本文将深入探讨Rag系统的发展、存在的问题及其优化方案，希望能为相关领域的研究者和开发者提供参考和启示。

Retrieval-Augmented Generation (RAG) systems have emerged as a powerful approach to significantly enhance the capabilities of language models. By seamlessly integrating document retrieval with text ...

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...