The invention provides a vector
knowledge base construction method and
system based on a
large model and a retrieval method.The construction method comprises the following steps that an original document is segmented to obtain a plurality of text blocks, and
metadata information of the text blocks is extracted; extracting a concept entity from the text block based on a
large model to form an initial concept entity; performing
semantic matching and integration on the initial concept entity based on a
large model to obtain a standard concept entity; establishing an occurrence association relationship between the text block and the standard concept entity; based on the standard concept entity and the original text of the standard concept entity, utilizing a large model to analyze and construct an entity map representing the
semantic relationship between the entities; after the text blocks and the standard concept entities are subjected to vectorization
processing,
metadata information of the text blocks, the incidence relation between the text blocks and the standard concept entities and the entity maps are correlated to form a vector
knowledge base. According to the method, more accurate and more intelligent
knowledge management and retrieval can be realized.