The invention discloses a data query method. The method comprises the steps of receiving a to-be-answered question sent by a user terminal; extracting a feature vector of the to-be-answered question by utilizing a pre-established deep semantic matching model to obtain a to-be-matched feature vector; respectively calculating the similarity between the to-be-matched feature vector and each library feature vector; wherein each library feature vector is obtained by performing feature extraction on each service problem group in a target server knowledge base corresponding to the user terminal and performing feature extraction on each general problem group in a general knowledge base in communication connection with each server knowledge base; determining the library feature vector correspondingto the maximum value in the similarities as a target feature vector, and obtaining target answer data of a question group corresponding to the target feature vector; and returning the target answer data to the user terminal. According to the invention, the user experience is improved, the procurement and maintenance costs are greatly reduced, and resources are saved. The invention furthermore discloses a data query device and equipment, and a storage medium, which have corresponding technical effects.