Capital One Services, LLC

Talha Koc

Paul Cho

Piper Alexandra Coble

Gary B Williams

Eric Campbell

Ralph Lozano

Alexander Bussan

Mukund Manikantan

Talyne Derderian Walsh

Prarthana Bhattarai

Exemplary embodiments provide methods, mediums, and systems for performing a reusable, intelligent semantic search across a potentially large number of records. Embodiments may be particularly useful for responding to requests for information from regulatory agencies. In one embodiment, an embedding model is trained to embed queries in an embedding space. When a new query is received, the new query is embedded with the embedding model. A set of documents (e.g., previous responses to regulatory inquiries) may be searched using the embedded query and an indexing model that allows for efficient searches of embedding spaces. A number of results may be returned from the document store, and the results may be ranked by a ranking model. User feedback about the quality of the results may be received, and the ranking model may be retrained based on the feedback.

Methods, mediums, and systems for reusable intelligent search workflows

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Jersey City, NJ, United States of America

Talha Koc