The invention discloses an unstructured data management method and device based on AI (Artificial Intelligence). The method comprises the following steps that: through HDFS (Hadoop Distributed File System), HBase and Nosql, storing a large scale of unstructured data objects; through an AI intelligence algorithm, extracting data features from the unstructured data objects, in addition, storing theextracted data features in an external table, and constructing an unstructured data model; and using an SQL (Structured Query Language) to retrieve the feature table of the unstructured data object, and realizing the management of the unstructured data, wherein the model is used for carrying out similarity search on the unstructured data. By use of the method, the query accuracy and the expansibility of the unstructured data can be effectively improved, the core data feature value extraction of the unstructured data is realized, the unstructured data can be conveniently identified, retrieved and used, and the diversity and the flexibility of value added service are fully embodied.