This application discloses an AI-based experimental
verification and evaluation method and related apparatus, relating to the field of
computer technology. The method includes: structurally segmenting experimental evaluation documents based on a parent-child segmentation pattern to obtain a two-layer segmented document structure; vectorizing the content of its sub-blocks to generate a vectorized
knowledge base; invoking a
data extraction agent based on
data extraction rules, using an experimental
data management software database as the
data source, and extracting experimental plan, implementation, and result information from the document using a large
language model; vectorizing user evaluation needs based on an experimental
verification and evaluation task planning agent, calculating
semantic similarity using the vectorized
knowledge base, and deriving relevant
evaluation algorithm specifications and experimental cost accounting standards; and evaluating the sufficiency, progress, and cost of the experimental
verification process based on the specifications and standards using an experimental verification sufficiency, progress, and
cost evaluation agent to obtain the experimental verification evaluation results. This application can quickly obtain evaluation results, supporting leadership decision-making.