This application discloses a policy
question answering method, apparatus, device, and medium based on a
large model, relating to the field of policy
question answering technology. The method includes: acquiring an initial policy question sent by a user, and
rewriting the initial policy question using a first pre-trained
large model to obtain a rewritten policy question; vectorizing the rewritten policy question based on semantic features and question
scenario features to obtain a vectorized policy question; filtering policy information stored in a preset question matching
database to determine if a target policy answer corresponding to the vectorized policy question exists in the
database; if not, filtering related documents corresponding to the vectorized policy question from a preset policy
knowledge base, and determining prompt words corresponding to the vectorized policy question from a preset policy prompt word
library to obtain the target policy answer. This not only improves the
processing efficiency of policy questions based on a
large model but also provides a better user experience and service.