SYSTEMS AND METHODS FOR QUESTION ANSWERING WITH DIVERSE KNOWLEDGE SOURCES

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United States of America Patent

APP PUB NO 20250103592A1
SERIAL NO

18423836

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Abstract

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Embodiments described herein provide systems and methods for retrieval augmented generation. A neural network based language model may be provided a question as a user input. Based on the user input, semantically diverse queries may be generated for retrieval from diverse data sources. For example, a structured data source (e.g., database or knowledge base) and unstructured data (e.g., text articles) may be used to retrieve information relevant to the user input. The retrieve information may be ranked so that the most relevant information is used by the language model in generating an answer to the question in the user input. A non-retrieval based answer generated by the language model may be utilized in some embodiments in generating the final answer.

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SALESFORCE INCSALESFORCE TOWER 415 MISSION STREET 3RD FLOOR SAN FRANCISCO CA 94105

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Joty, Shafiq Rayhan San Jose, US 22 73
Liu, Ye Fremont, US 353 2493
Niu, Tong Sunnyvale, US 31 33
Yavuz, Semih Redwood City, US 21 28
Zhao, Wenting San Francisco, US 7 6
Zhou, Yingbo Palo Alto, US 48 629

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