Abstract: The present disclosure relates to software, mobile app, or product powered by a machine learning model capable of making recommendations about market-current documents to a user in response to a prompt or query by ingesting text from a corpus in a public database, isolating discrete text elements within the corpus, embedding information from the discrete text elements into vector format, storing the embedded information in vector database, and retrieving the embedded information from the vector database in response to a user query.
Type:
Grant
Filed:
March 28, 2024
Date of Patent:
July 22, 2025
Assignee:
ELAIN, INC
Inventors:
Tamar Erdfarb, Murilo Venturin, Filipe do Rego Barros Luz