US 12,299,613 B1
Implementing user input and derived image and text from engineering drawings to map manufacturing requirements to a subset of manufacturers via natural language agent programs
Bret Boyd, Austin, TX (US); John Michael Rozmus, Manor, TX (US); Kyle Robert Sperling, Archbold, OH (US); Quinn Meyer, Saginaw, MI (US); and Junsu Kim, Austin, TX (US)
Assigned to Sustainment Technologies, Inc., Austin, TX (US)
Filed by Sustainment Technologies, Inc., Austin, TX (US)
Filed on Jun. 20, 2024, as Appl. No. 18/748,873.
Int. Cl. G06Q 10/0631 (2023.01); G06Q 50/04 (2012.01); G06V 30/262 (2022.01); G06V 30/42 (2022.01)
CPC G06Q 10/063112 (2013.01) [G06Q 50/04 (2013.01); G06V 30/274 (2022.01); G06V 30/42 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving either a first user input or a second user input, or both, as an input including data representing requirements to manufacture a physical structure via an electronic network at a computing platform including one or more processors and one or more data stores;
concatenating at least two of engineering drawing summary data, a shoptype description, and estimated part size instruction data to combine the at least two of the engineering drawing summary data, the shoptype description, and the estimated part size instruction data;
generating an automated text query based on a combination of the at least two of the engineering drawing summary data, the shoptype description, and the estimated part size instruction data;
implementing a retrieval-augmented generation (“RAG”) algorithmic process to configure a manufacturing-specific prompt based on either the first user input or the second user input to access a proprietary database;
transmitting the first user input and the automated text query to a large language model as a function of the manufacturing-specific prompt; and
generating an output of the large language model including data representing a list of entities enabled to manufacture the physical structure in accordance with the requirements.