The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 28, 2025

Filed:

Oct. 12, 2023
Applicant:

Arista Networks, Inc., Santa Clara, CA (US);

Inventors:

Krishna Prabhakar, Los Altos Hills, CA (US);

Rajarao Bhagya Prasad Nittur, Milpitas, CA (US);

Anoop Kumaran Nair, Thrikkakara, IN;

Rajesh Kumar Ganapathy Achari, Perumbavoor, IN;

Madhusudhan Chitradurga Sethuram Setty, Bengaluru, IN;

Venkatesh Ramachandran, Bengaluru, IN;

Assignee:

Arista Networks, Inc., Santa Clara, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/07 (2006.01); G06F 11/22 (2006.01); G06F 16/242 (2019.01); G06F 16/245 (2019.01); G06F 40/295 (2020.01); G06F 40/40 (2020.01); G06N 5/022 (2023.01); H04L 9/08 (2006.01); H04L 9/40 (2022.01); H04L 41/0806 (2022.01); H04L 41/0893 (2022.01); H04L 41/0894 (2022.01); H04L 41/0895 (2022.01); H04L 41/14 (2022.01); H04L 41/149 (2022.01); H04L 41/28 (2022.01); H04L 43/0876 (2022.01);
U.S. Cl.
CPC ...
G06F 11/0709 (2013.01); G06F 11/079 (2013.01); G06F 11/0793 (2013.01); G06F 11/2257 (2013.01); G06F 16/242 (2019.01); G06F 16/245 (2019.01); G06F 40/295 (2020.01); G06F 40/40 (2020.01); G06N 5/022 (2013.01); H04L 9/0825 (2013.01); H04L 41/0806 (2013.01); H04L 41/0893 (2013.01); H04L 41/0894 (2022.05); H04L 41/0895 (2022.05); H04L 41/145 (2013.01); H04L 41/149 (2022.05); H04L 41/28 (2013.01); H04L 43/0876 (2013.01); H04L 63/0823 (2013.01); H04L 63/083 (2013.01); H04L 63/0876 (2013.01); H04L 63/10 (2013.01); H04L 63/102 (2013.01);
Abstract

A method of operating a network is provided that includes receiving a query, using a first language model to determine an intent or purpose of the query, using a second language model to extract a named entity from the query, and obtaining search results by searching for the extracted named entity on a named entity list corresponding to a particular tenant. The method can further include generating a response based on the search results. The query can be a natural language query, and the first language model can be a natural language model. The second language model for extracting the named entity can be a network-related language model that is trained on network records associated with a plurality of tenants. The network records associated with the plurality of tenants can be stored on a multi-tenant database.


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