Artificial neural network based search engine circuitry

An apparatus, comprising:

• a computer memory;
• an artificial neural network (ANN) circuit configured to generate a sequence of embedding vectors in a multi-dimensional latent space of the computer memory to describe a content of each of a succession of elements of computer data stored in the computer memory, the ANN circuit further configured to arrange the sequence of embedding vectors into a plurality of groups with each group comprising a subset of the embedding vectors having similar movement metrics within the latent space and each group corresponding to a different interval within the computer data, the ANN circuit further configured to determine a set of representative vectors (RVs) within the latent space and to store the set of RVs in the computer memory, each of the RVs describing the content of the subset of the embedding vectors for a different one of the plurality of groups;
• and
• an agent interface configured to receive a query input, the ANN circuit further configured to output a selected interval of the computer data in relation to a comparison of the set of RVs stored in the computer memory and a search vector derived from the query input.

A computerized method comprising:

• selecting a computerized data set stored in a computer memory and having an associated content;
• partitioning the computerized data set into segments, each segment comprising a succession of elements, each element described by a corresponding embedding vector in a multi-dimensional latent space;
• identifying a selected segment;
• constructing a representative vector (RV) for the embedding vectors associated with the selected segment;
• generating a search vector responsive to a query input submitted via an agent interface;
• and
• comparing the search vector to the RV to evaluate a similarity of the selected segment from the computerized data set to an informational content of the query input.