将业务模型定义快速换为智能体DBDescription知识库的方法
By collecting business data to create business models, extracting and standardizing model features, defining the knowledge base structure, and setting trigger conditions, the problem of low database update and maintenance efficiency is solved, and efficient creation and updating of the knowledge base is achieved.
CN121807868BActive Publication Date: 2026-07-17CHENGDU ZHONGKE ZHIYONG INFORMATION TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU ZHONGKE ZHIYONG INFORMATION TECH CO LTD
- Filing Date
- 2025-12-29
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
In existing technologies, it is difficult to determine a suitable database carrier for different types of target data, resulting in low efficiency in database updates and maintenance.
Method used
Collect business data from multiple target businesses, create business models, extract and standardize model features, define knowledge base structure standards, set trigger conditions for the agent DB Description knowledge base, and select appropriate knowledge base carriers based on user levels.
Benefits of technology
It improves the efficiency of knowledge base creation and updating, reduces repetitive work, and enhances team collaboration efficiency and system maintainability.
✦ Generated by Eureka AI based on patent content.
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Figure CN121807868B_ABST
Abstract
本发明涉及信息技术技术领域，具体而言，涉及将业务模型定义快速换为智能体DB Description知识库的方法。通过采集多个目标业务的业务数据，基于业务数据分别为每一个目标业务创建业务模型，之后提取每一个业务模型的多个模型特征，并对模型特征进行标准化处理，基于模型特征定义知识库的知识库结构标准，基于知识库结构标准创建智能体DB Description知识库，最后设置智能体DB Description知识库的触发条件，并基于触发条件维护智能体DB Description知识库，本申请通过基于不同的用户等级设置对应的知识库载体，从而提高知识库的创建效率，并为待更新的业务模型选择合适的目标模型，从而提高知识库的更新效率。
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