现代信息科技2025，Vol.9Issue(18)：110-114,5.DOI:10.19850/j.cnki.2096-4706.2025.18.020
基于DeepSeek和RAGFlow的智能项目推荐客服系统部署实践
Intelligent Project Recommendation Customer Service System Deployment Practice Based on DeepSeek and RAGFlow
薛陶蓓 1郑浩东1
作者信息
- 1. 上海交易集团有限公司,上海 200062
- 折叠
摘要
Abstract
This paper focuses on how to realize the transformation of natural language to SQL statement based on Large Language Model by means of low code,so as to help users automatically obtain project data that meets the requirements and improve work efficiency and service efficiency.Firstly,DeepSeek is deployed locally as the basic model,and the Agent process of natural language to SQL is built with the help of open source tool RAGFlow.The system can accurately analyze the natural language input by the user,transform it into the corresponding SQL statements,and finally return the project information required by the user to the dialogue window by performing the query operation in the database.The research elaborates on the key steps in the construction and implementation of the system architecture.Experimental verification shows that the system performs well in the accuracy of natural language to SQL and the efficiency of data query.It provides enterprises with more convenient data utilization and service solutions,and helps enterprises to develop digital transformation.关键词
DeepSeek/RAGFlow/自然语言转SQL/大语言模型Key words
DeepSeek/RAGFlow/natural language to SQL/Large Language Model分类
信息技术与安全科学引用本文复制引用
薛陶蓓,郑浩东..基于DeepSeek和RAGFlow的智能项目推荐客服系统部署实践[J].现代信息科技,2025,9(18):110-114,5.
