Self-Knowledge Retrieval Augmented Generation Framework for Patent Matching
- 类型:arxiv
- 标识:2608.11030
- 链接:http://arxiv.org/abs/2608.11030v1
- 主分类:rag
- 形态:method
- 被引:0
- 被引来源:Semantic Scholar
- S2被引:0
- 影响力被引:0
- TLDR:A self-knowledge RAG framework is proposed that guides LLMs to autonomously extract key technical entities and construct hierarchical ontological structures from patent matching queries, thereby enabling query expansion and precise retrieval.
- 待LLM分类:否
- 标题中文:面向专利匹配的自知识检索增强生成框架
- TLDR中文:本文提出一种自我知识 RAG 框架,引导 LLM 从专利匹配查询中自主提取关键技术实体并构建层次化本体结构,从而实现查询扩展与精确检索。
- 来源文件:
- /inbox/tom/_candidates/2026-08-12-agent-rag-longcontext-candidates.json
- [S2 enrich]