Artificial intelligence-based document knowledge tree generation and interactive exploration method and system

Abstract

The application discloses a document knowledge tree generation and interactive exploration method and system based on artificial intelligence, relates to the technical field of artificial intelligence, and comprises the following steps: receiving a document uploaded by a user; extracting the text content of the document; calling a large language model based on the text content to perform analysis, so as to recursively construct a hierarchical knowledge tree structure; and in response to a query request initiated by a user at at least one knowledge node in the knowledge tree structure, taking each knowledge node as a target node, performing knowledge tree expansion based on the user query request; the method has the beneficial effects that: an unstructured document can be converted into a structured knowledge system, and the path tracing mechanism of the knowledge tree ensures the coherence of the context of multiple rounds of dialogue, so that the efficiency of deep understanding and interactive exploration of a complex document by a user is improved compared with the prior art.

Images