The invention discloses a self-adaptive retrieval surveying and mapping quality
inspection method based on
knowledge graph enhancement, and the method comprises the following steps: S1, constructing a lightweight quality inspection
knowledge graph, extracting a clause number, an inspection element and a threshold value, and binding a document
anchor point; s2, performing entity identification and
standardization processing on the
user input, generating a
standardization query and identifying a query intention; s3, retrieving the evidence in parallel in the text channel and the
knowledge graph channel and obtaining an evidence
score; s4, generating an initial candidate answer, calculating a support degree, and executing controlled knowledge graph migration to supplement evidence when the support is insufficient; s5, forming an evidence packet and generating candidate answers; s6, an evidence guardrail is applied, and consistency checking is executed; s7, outputting a traceable result of the number and the page number of the embedded terms; according to the method, through dual-channel retrieval, error
perception evidence mending and evidence guardrail mechanisms, clause retrieval integrity and reasoning stability are improved, illusion and wrong reference risks are reduced, and it is ensured that a final result can be accurately traced according to clause sources.