Model-based knowledge retrieval method, device and equipment, medium and product

By obtaining the information to be queried in the knowledge base system, using predefined association mechanisms and multi-dimensional similarity determination, the problem of inefficient information retrieval in the traditional knowledge base system is solved, intelligent association and accurate retrieval are achieved, and retrieval accuracy and response speed are improved.

CN120336550APending Publication Date: 2025-07-18上海镁信健康科技集团股份有限公司
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Patent Information

Application Number
CN202510445199.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-10
Publication Date
2025-07-18

AI Technical Summary

Technical Problem

Traditional knowledge base systems find it difficult to obtain highly relevant content when retrieving information, the information retrieval is inefficient, and it is difficult to process unstructured data, and it is unable to make full use of implicit knowledge, which limits the dissemination and utilization of knowledge.

Method used

By obtaining the insurance knowledge information to be queried, using the predefined association mechanism to determine the dimension information of the association knowledge, and performing multi-dimensional similarity determination, obtaining the similarity of each knowledge result in different dimensions, and finally determining the query result.

Benefits of technology

It realizes intelligent correlation and accurate retrieval of knowledge, significantly improves the search accuracy and response speed, and the query results are more in line with user needs, providing efficient and intelligent knowledge services.

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Abstract

The invention discloses a knowledge retrieval method, device and equipment based on a model, a medium and a product, and relates to the technical field of natural language processing. The knowledge retrieval method based on the model comprises the following steps: acquiring insurance knowledge information to be queried; according to the insurance knowledge information to be inquired and a predefined association mechanism, association knowledge dimension information is determined; performing multi-dimensional similarity determination on knowledge results contained in the knowledge base according to the associative knowledge dimension information to obtain similarities of the knowledge results under different dimensions; and determining a query result according to the similarities. And determining potential associative knowledge dimension information in the insurance knowledge information to be queried based on a predefined associative mechanism, and obtaining a final query result through multi-dimensional similarity determination. According to the method, intelligent association and accurate retrieval of knowledge are achieved, the retrieval accuracy and response speed are remarkably improved, the query result better meets user requirements, and efficient and intelligent knowledge services are provided for users.
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Citation Information

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