System and method for synthetic query generation and retrieval using a large language model
AssigneeThe Toronto-Dominion Bank
InventorsStephen ROSE, Xueying ZHANG, Maksims VOLKOVS
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Abstract
A computer system comprises at least one processor; and a memory coupled to the at least one processor and storing processor-executable instructions which, when executed by the at least one processor, configure the at least one processor to receive a query; embed the query into a query vector; compare the query vector to stored query vectors in a query index to identify at least one similar query; and retrieve at least one document section associated with the at least one similar query.
Claims20
A computer system comprising:
- at least one processor;
- and
- a memory coupled to the at least one processor and storing processor-executable instructions which, when executed by the at least one processor, configure the at least one processor to:
- receive a query;
- embed the query into a query vector;
- compare the query vector to stored query vectors in a query index to identify at least one similar query;
- and
- retrieve at least one document section associated with the at least one similar query.
A computer-implemented method comprising:
- receiving a query;
- embedding the query into a query vector;
- comparing the query vector to stored query vectors in a query index to identify at least one similar query;
- and
- retrieving at least one document section associated with the at least one similar query.
A non-transitory computer readable storage medium comprising computer-executable instructions which, when executed, configure at least one processor to:
- receive a query;
- embed the query into a query vector;
- compare the query vector to stored query vectors in a query index to identify at least one similar query;
- and
- retrieve at least one document section associated with the at least one similar query.
Dependencies are inferred from the claim text.