US 12,346,366 B2
Providing generative answers including citations to source documents
Zachary Dicklin, Boulder, CO (US); Michael Colagrosso, Arvada, CO (US); Remy Burger, Boulder, CO (US); Michael Bendersky, Cupertino, CA (US); and Brandon Vargo, Boulder, CO (US)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Sep. 21, 2023, as Appl. No. 18/472,190.
Prior Publication US 2025/0103640 A1, Mar. 27, 2025
Int. Cl. G06F 16/33 (2025.01); G06F 16/3332 (2025.01); G06F 16/38 (2019.01)
CPC G06F 16/382 (2019.01) [G06F 16/3334 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining a generative machine learning model (MLM) prompt, wherein the generative MLM prompt includes an indication of a user request to generate content based on one or more documents stored in a cloud-based content management platform;
generating, using an embedding model, a first query embedding based on the generative MLM prompt;
selecting, from a plurality of documents stored in the cloud-based content management platform, a subset of the plurality of documents, wherein the selection of the subset is based on the generative MLM prompt and the first query embedding;
inputting the generative MLM prompt and the subset of the plurality of documents into a first generative MLM; and
generating, using the first generative MLM, a response, wherein the response comprises content generated by the first generative MLM, and one or more citations to one or more documents of the subset.