2022中医药典知识图谱
本项目基于2022中医药典籍构建了知识图谱与智能问答系统。项目利用大语言模型技术，从《2022中国药典》等原始文本中提取药材属性、功效及相互作用等关键信息，构建结构化的图数据库。通过将非结构化的药典文本转化为机器可理解的知识网络，系统能够实现对中医药知识的精准检索与推理。最终开发的RAG系统结合了知识图谱的结构化查询与生成模型的自然语言能力，旨在为用户提供准确、可溯源的中医药知识问答服务。代码已开源至GitHub仓库：https://github.com/F1yingWhite/knGraph-BigWork
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Additional Information
| Field | Value |
|---|---|
| Data last updated | January 19, 2026 |
| Metadata last updated | January 19, 2026 |
| Created | January 19, 2026 |
| Format | jsonl |
| License | Other (Open) |
| Datastore active | False |
| Has views | False |
| Id | 384ceaee-b079-4eb7-8343-305bfef7e450 |
| Package id | 7fb6bd86-fa9c-4f4e-ac84-7d9207193896 |
| Position | 0 |
| State | active |