System

A system comprising:

• circuitry configured to
• receive, via a packet-switched network, a plurality of heterogeneous data records from a plurality of data source interfaces and an input character sequence from a terminal device;
• extract character sequences from the plurality of heterogeneous data records, normalize encoding format data and notation format data of the character sequences, segment the normalized character sequences into token-bounded data units conforming to an input constraint of a transformer-based language model, and input the token-bounded data units into the transformer-based language model to generate structured inference output data;
• generate a graph data structure comprising entity nodes and association edges based on the structured inference output data, and build index structures over properties of the entity nodes and association edges;
• concatenate a schema description of the graph data structure with the input character sequence to form a first structured input sequence, input the first structured input sequence into a generative neural network model to obtain an intermediate representation encoding a structured query, validate the intermediate representation against the schema description, and execute a search operation on the graph data structure based on the validated intermediate representation to retrieve response data;
• generate a second structured input sequence comprising the response data and the input character sequence with an instruction to reference only identifiers present in the response data, input the second structured input sequence into the generative neural network model to generate output character sequence data, and verify the output character sequence data against the response data;
• and
• transmit the verified output character sequence data via the packet-switched network to the terminal device for rendering on a display of the terminal device.

A method performed by a system comprising circuitry, the method comprising:

• receiving, via a packet-switched network, a plurality of heterogeneous data records from a plurality of data source interfaces;
• normalizing encoding format data, notation format data, and structural layout data of character sequences extracted from the plurality of heterogeneous data records to generate normalized analysis data;
• segmenting the normalized analysis data into token-bounded data units conforming to an input constraint of a transformer-based language model, and inputting the token-bounded data units into the transformer-based language model to generate structured inference output data comprising classification label data and association data;
• generating, based on the structured inference output data, a graph data structure comprising entity nodes and association edges representing correspondences identified by the transformer-based language model;
• receiving, via the packet-switched network, an input character sequence from a terminal device, generating a structured input sequence for a generative neural network model based on the input character sequence and the graph data structure, and inputting the structured input sequence into the generative neural network model to obtain an intermediate representation encoding a structured query for the graph data structure;
• executing a search operation on the graph data structure based on the intermediate representation to retrieve response data;
• and
• generating a second structured input sequence comprising the response data and the input character sequence, inputting the second structured input sequence into the generative neural network model to generate output character sequence data, and transmitting the output character sequence data via the packet-switched network to the terminal device for rendering on a display of the terminal device.