---
id: 20260321-T0-20
title: "DynaRAG：融合静态与动态知识的检索增强生成"
title_en: "DynaRAG: Merging Static and Dynamic Knowledge in RAG Systems"
url: https://ai.daily.yangsir.net/daily/20260321-T0-20
issue_date: 2026-03-21
publish_date: 2026-03-20T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2603.18012
---

# DynaRAG：融合静态与动态知识的检索增强生成

DynaRAG框架创新性地融合静态和动态知识，解决传统RAG仅依赖静态语料库的局限。该系统能够处理静态信息和时效性需求，通过动态知识集成提供更全面的检索增强生成。相比传统方法，DynaRAG在处理时变信息和保持知识一致性方面表现更优，为RAG技术在动态环境中的应用提供了新思路。

## English Version

**DynaRAG: Merging Static and Dynamic Knowledge in RAG Systems**

DynaRAG innovatively merges static and dynamic knowledge, addressing traditional RAG's limitation of relying solely on static corpora. The system handles both static information and time-sensitive needs through dynamic knowledge integration, providing more comprehensive retrieval-augmented generation. It outperforms traditional methods in processing time-varying information while maintaining knowledge consistency, offering new approaches for RAG in dynamic environments.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2603.18012)

**详情页**：https://ai.daily.yangsir.net/daily/20260321-T0-20

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