Patents by Inventor Rakesh Kothari

Rakesh Kothari has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12292878
    Abstract: Generating object morphisms during object search includes obtaining object-search request data, wherein the object-search request data includes object-search terms, obtaining resolved-request data representing the object-search terms, determining that a first analytical object partially consistent with the resolved-request data is available, wherein the first analytical object is consistent with a first portion of the resolved-request data, generating candidate object-morphism data with respect to the first analytical object in accordance with a second portion of the resolved-request data, outputting object-search response data including the candidate object-morphism data for presentation to a user, obtaining data indicating a selected object morphism from the candidate object-morphism data, generating a second analytical object in accordance with the first analytical object and the selected object morphism, wherein the second analytical object differs from the first analytical object, and outputting response
    Type: Grant
    Filed: November 3, 2023
    Date of Patent: May 6, 2025
    Assignee: Thoughtspot, Inc.
    Inventors: Rakesh Kothari, Nikhil Yadav, Manikanta Venkata Rahul Balakavi, Hungpin Kao
  • Patent number: 12259889
    Abstract: Systems and methods for query generation based on a logical data model with one-to-one joins are described. For example, methods may include accessing a join graph representing tables in a database; receiving a first query; selecting a connected subgraph of the join graph that includes the two or more tables referenced in the first query; accessing an indication that a directed edge of the connected subgraph corresponds to a one-to-one join; modifying the connected subgraph based on the indication to obtain a modified subgraph; generating one or more leaf queries based on the modified subgraph; generating a query graph that specifies joining of results from queries based on the one or more leaf queries; invoking a transformed query on the database that is based on the query graph and the queries based on the one or more leaf queries.
    Type: Grant
    Filed: March 8, 2024
    Date of Patent: March 25, 2025
    Assignee: Thoughtspot, Inc.
    Inventors: Naman Shah, Rakesh Kothari, Vaibhav Agarwal
  • Patent number: 12242486
    Abstract: Operating a low-latency database analysis system with phrase translation may include obtaining a locale-specific phrase localization rule and a canonical phrase localization rule for a phrase, generating a locale-specific index and a locale-specific finite state machine for the locale using the localization definition data and a canonical finite state machine, generating a resolved-request by obtaining a locale-specific token representing locale-specific input data by traversing the locale-specific index, obtaining a canonical token associated with locale-specific token, obtaining a locale-specific phrase by traversing the locale-specific finite state machine, obtaining a canonical phrase corresponding to the locale-specific phrase, the canonical phrase including the canonical token, generate a data-query based on the canonical phrase, obtaining results data responsive to the data expressing the usage intent by executing a query corresponding to the data-query by an in-memory database of the low-latency datab
    Type: Grant
    Filed: December 5, 2023
    Date of Patent: March 4, 2025
    Assignee: ThoughtSpot, Inc.
    Inventors: Pulkit Arora, Ramnik Jain, Rakesh Kothari, Archit Bansal, Vishal Kasera
  • Patent number: 12229161
    Abstract: Operating a low-latency database analysis system using domain-specific chronometry may include obtaining chronometry configuration data including chronometric instance data describing an instance of a chronometric unit of a domain-specific chronometry dataset that describes an era, such that the chronometry configuration data includes respective chronometric instance data describing each instance of the first chronometric unit of the domain-specific chronometry dataset for the era of the domain-specific chronometry dataset, generating, in the low-latency database analysis system, a domain-specific chronometry dataset in accordance with the chronometry configuration data, such that the domain-specific chronometry dataset describes a chronometric unit such that a temporal location expressed with reference to the chronometric unit and indicative of an epoch value differs from a temporal location indicative of the epoch value and expressed in accordance with a canonical chronometry, and storing the domain-specifi
    Type: Grant
    Filed: September 14, 2023
    Date of Patent: February 18, 2025
    Assignee: ThoughtSpot, Inc.
    Inventors: Tushar Mahale, Siva Singaram, Vishwas Sharma, Donko Donjerkovic, Simranjyot Singh Gill, Archit Bansal, Rakesh Kothari, Sanchit Gupta
  • Patent number: 12189691
    Abstract: A current set of context features for a database query that is associated with a string is identified. The database query includes a sequence of tokens of a database syntax, and the current set of context features includes words from the string and tokens from the database query. An inference record is selected from an inference store based on a comparison of the current set of context features to context features of inference records in the inference store. The database query is modified using a resolution of the inference record to obtain an inferred database query. The resolution includes one or more tokens of the database syntax. A search of a database is invoked using a query based on the inferred database query to obtain search results.
    Type: Grant
    Filed: September 1, 2023
    Date of Patent: January 7, 2025
    Assignee: ThoughtSpot, Inc.
    Inventors: Amit Prakash, Ravi Tandon, Manikanta Venkata Rahul Balakavi, Pavan Ram Piratla, Ashish Shubham, Alonzo Canada, Rakesh Kothari, Maneesh Apte, Amitabh Singhal, Aditya Viswanathan, Ajeet Singh
  • Patent number: 12099501
    Abstract: Object scriptability includes receiving a high-level language script describing at least one data-analysis object, including a node representing the data-analysis object in a graph-based data structure including a plurality of nodes, where each node from the plurality of nodes represents a respective data-analysis object in a data analysis system, where each node from the plurality of nodes is connected to at least one other node from the plurality of nodes by an edge, and where the edge represents a relationship between the respective objects in the data analysis system.
    Type: Grant
    Filed: December 6, 2022
    Date of Patent: September 24, 2024
    Assignee: ThoughtSpot, Inc.
    Inventors: Archit Bansal, Rakesh Kothari, Vaibhav Agarwal, Romil Gadia, Akshay Agrawal, Brian Lee
  • Patent number: 12038887
    Abstract: A method and system may be implemented for automatically analyzing data in a database. A method for use in a low-latency database analysis system may include generating a schema. The schema may be based on a portion of an external database. The method may include storing the schema in an in-memory database. The method may include receiving a data-query. The method may include generating a resolved-request. The resolved-request may be based on the data-query and the stored schema. The stored schema may be used for executing the query on the external database. The method may include receiving results data responsive to the data-query from the external database. The method may include outputting the results data for display on a user interface.
    Type: Grant
    Filed: December 16, 2022
    Date of Patent: July 16, 2024
    Assignee: ThoughtSpot, Inc.
    Inventors: Siva Singaram, Rakesh Kothari, Naresh Kumar, Jasmeet Singh Jaggi, Rahul Manikanta Balakavi, Tushar Mahale, Rahul Paliwal, Sandeep Kumar
  • Publication number: 20240211479
    Abstract: Systems and methods for query generation based on a logical data model with one-to-one joins are described. For example, methods may include accessing a join graph representing tables in a database; receiving a first query; selecting a connected subgraph of the join graph that includes the two or more tables referenced in the first query; accessing an indication that a directed edge of the connected subgraph corresponds to a one-to-one join; modifying the connected subgraph based on the indication to obtain a modified subgraph; generating one or more leaf queries based on the modified subgraph; generating a query graph that specifies joining of results from queries based on the one or more leaf queries; invoking a transformed query on the database that is based on the query graph and the queries based on the one or more leaf queries.
    Type: Application
    Filed: March 8, 2024
    Publication date: June 27, 2024
    Inventors: Naman Shah, Rakesh Kothari, Vaibhav Agarwal
  • Patent number: 11989196
    Abstract: A low-latency database analysis system using an object index may include obtaining data expressing a usage intent, and, in response to a determination that the data expressing the usage intent includes object search request data including a user identifier and zero or more object search terms, obtaining, from an object-index responsive to the object search request data, object indexing data for an object, obtaining object detail data for the object, obtaining an object visualization capture for the object, and outputting object search response data including the object visualization capture and at least a portion of the object detail data for presentation to a user.
    Type: Grant
    Filed: May 18, 2022
    Date of Patent: May 21, 2024
    Assignee: ThoughtSpot, Inc.
    Inventors: Pulkit Arora, Ramnik Jain, Rakesh Kothari, Vishal Kasera
  • Patent number: 11966395
    Abstract: Systems and methods for query generation based on merger of subqueries are described. For example, methods may include accessing a first join graph representing tables in a database, wherein the first join graph has vertices corresponding to respective tables in the database and directed edges corresponding to join relationships; receiving a first query specification that references data in two or more of the tables of the database to specify multiple subqueries in a set of subqueries; checking that two or more subqueries from the set of subqueries have the same join graph; checking that the two or more subqueries have the same set of grouping columns; responsive, at least in part, to the two or more subqueries having the same join graph and the same set of grouping columns, merging the two or more subqueries to obtain a consolidated query.
    Type: Grant
    Filed: July 11, 2022
    Date of Patent: April 23, 2024
    Assignee: ThoughtSpot, Inc.
    Inventors: Naman Shah, Rakesh Kothari, Archit Bansal
  • Publication number: 20240119054
    Abstract: Operating a low-latency database analysis system with phrase translation may include obtaining a locale-specific phrase localization rule and a canonical phrase localization rule for a phrase, generating a locale-specific index and a locale-specific finite state machine for the locale using the localization definition data and a canonical finite state machine, generating a resolved-request by obtaining a locale-specific token representing locale-specific input data by traversing the locale-specific index, obtaining a canonical token associated with locale-specific token, obtaining a locale-specific phrase by traversing the locale-specific finite state machine, obtaining a canonical phrase corresponding to the locale-specific phrase, the canonical phrase including the canonical token, generate a data-query based on the canonical phrase, obtaining results data responsive to the data expressing the usage intent by executing a query corresponding to the data-query by an in-memory database of the low-latency datab
    Type: Application
    Filed: December 5, 2023
    Publication date: April 11, 2024
    Inventors: Pulkit Arora, Ramnik Jain, Rakesh Kothari, Archit Bansal, Vishal Kasera
  • Patent number: 11941034
    Abstract: Systems and methods for conversational user experiences and conversational database analysis disclosed herein improve the efficiency and accessibility of low-latency database analytics.
    Type: Grant
    Filed: January 31, 2023
    Date of Patent: March 26, 2024
    Assignee: ThoughtSpot, Inc.
    Inventors: Manikanta Venkata Rahul Balakavi, Rakesh Kothari, Amit Prakash, Ravi Tandon, Ashish Shubham
  • Patent number: 11928114
    Abstract: Systems and methods for query generation based on a logical data model with one-to-one joins are described. For example, methods may include accessing a join graph representing tables in a database; receiving a first query; selecting a connected subgraph of the join graph that includes the two or more tables referenced in the first query; accessing an indication that a directed edge of the connected subgraph corresponds to a one-to-one join; modifying the connected subgraph based on the indication to obtain a modified subgraph; generating one or more leaf queries based on the modified subgraph; generating a query graph that specifies joining of results from queries based on the one or more leaf queries; invoking a transformed query on the database that is based on the query graph and the queries based on the one or more leaf queries.
    Type: Grant
    Filed: April 21, 2020
    Date of Patent: March 12, 2024
    Assignee: ThoughtSpot, Inc.
    Inventors: Naman Shah, Rakesh Kothari, Vaibhav Agarwal
  • Publication number: 20240070176
    Abstract: Intent-resolution using a phrase index may include obtaining data expressing a usage intent, the data expressing the usage intent including an unresolved data portion, identifying a phrase fragment based on the data expressing the usage intent and a defined phrase pattern, the phrase fragment including the unresolved data portion, identifying, by a processor, an indexed phrase as by searching a phrase index based on the phrase fragment, wherein the indexed phrase at least partially matches the phrase fragment in accordance with the defined phrase pattern, in response to identifying the indexed phrase, obtaining a resolved request representing the data expressing the usage intent in accordance with the indexed phrase, generating a data query in accordance with the resolved request and a defined structured query language, obtaining results data responsive to execution of the data query by a database that implements the defined structured query language, and outputting the results data.
    Type: Application
    Filed: November 3, 2023
    Publication date: February 29, 2024
    Inventors: Archit Bansal, Ben Limonchik, Rakesh Kothari, Manikanta Venkata Rahul Balakavi
  • Publication number: 20240070204
    Abstract: A current set of context features for a database query that is associated with a string is identified. The database query includes a sequence of tokens of a database syntax, and the current set of context features includes words from the string and tokens from the database query. An inference record is selected from an inference store based on a comparison of the current set of context features to context features of inference records in the inference store. The database query is modified using a resolution of the inference record to obtain an inferred database query. The resolution includes one or more tokens of the database syntax. A search of a database is invoked using a query based on the inferred database query to obtain search results.
    Type: Application
    Filed: September 1, 2023
    Publication date: February 29, 2024
    Inventors: Amit Prakash, Ravi Tandon, Manikanta Venkata Rahul Balakavi, Pavan Ram Piratla, Ashish Shubham, Alonzo Canada, Rakesh Kothari, Maneesh Apte, Amitabh Singhal, Aditya Viswanathan, Ajeet Singh
  • Publication number: 20240061831
    Abstract: Generating object morphisms during object search includes obtaining object-search request data, wherein the object-search request data includes object-search terms, obtaining resolved-request data representing the object-search terms, determining that a first analytical object partially consistent with the resolved-request data is available, wherein the first analytical object is consistent with a first portion of the resolved-request data, generating candidate object-morphism data with respect to the first analytical object in accordance with a second portion of the resolved-request data, outputting object-search response data including the candidate object-morphism data for presentation to a user, obtaining data indicating a selected object morphism from the candidate object-morphism data, generating a second analytical object in accordance with the first analytical object and the selected object morphism, wherein the second analytical object differs from the first analytical object, and outputting response
    Type: Application
    Filed: November 3, 2023
    Publication date: February 22, 2024
    Inventors: Rakesh Kothari, Nikhil Yadav, Manikanta Venkata Rahul Balakavi, Hungpin Kao
  • Patent number: 11874842
    Abstract: Operating a low-latency database analysis system with phrase translation may include obtaining a locale-specific phrase localization rule and a canonical phrase localization rule for a phrase, generating a locale-specific index and a locale-specific finite state machine for the locale using the localization definition data and a canonical finite state machine, generating a resolved-request by obtaining a locale-specific token representing locale-specific input data by traversing the locale-specific index, obtaining a canonical token associated with locale-specific token, obtaining a locale-specific phrase by traversing the locale-specific finite state machine, obtaining a canonical phrase corresponding to the locale-specific phrase, the canonical phrase including the canonical token, generate a data-query based on the canonical phrase, obtaining results data responsive to the data expressing the usage intent by executing a query corresponding to the data-query by an in-memory database of the low-latency datab
    Type: Grant
    Filed: December 6, 2022
    Date of Patent: January 16, 2024
    Assignee: ThoughtSpot, Inc.
    Inventors: Pulkit Arora, Ramnik Jain, Rakesh Kothari, Archit Bansal, Vishal Kasera
  • Publication number: 20240004900
    Abstract: Operating a low-latency database analysis system using domain-specific chronometry may include obtaining chronometry configuration data including chronometric instance data describing an instance of a chronometric unit of a domain-specific chronometry dataset that describes an era, such that the chronometry configuration data includes respective chronometric instance data describing each instance of the first chronometric unit of the domain-specific chronometry dataset for the era of the domain-specific chronometry dataset, generating, in the low-latency database analysis system, a domain-specific chronometry dataset in accordance with the chronometry configuration data, such that the domain-specific chronometry dataset describes a chronometric unit such that a temporal location expressed with reference to the chronometric unit and indicative of an epoch value differs from a temporal location indicative of the epoch value and expressed in accordance with a canonical chronometry, and storing the domain-specifi
    Type: Application
    Filed: September 14, 2023
    Publication date: January 4, 2024
    Inventors: Tushar Mahale, Siva Singaram, Vishwas Sharma, Donko Donjerkovic, Simranjyot Singh Gill, Archit Bansal, Rakesh Kothari, Sanchit Gupta
  • Patent number: 11841846
    Abstract: Generating object morphisms during object search includes obtaining object-search request data, wherein the object-search request data includes object-search terms, obtaining resolved-request data representing the object-search terms, determining that a first analytical object partially consistent with the resolved-request data is available, wherein the first analytical object is consistent with a first portion of the resolved-request data, generating candidate object-morphism data with respect to the first analytical object in accordance with a second portion of the resolved-request data, outputting object-search response data including the candidate object-morphism data for presentation to a user, obtaining data indicating a selected object morphism from the candidate object-morphism data, generating a second analytical object in accordance with the first analytical object and the selected object morphism, wherein the second analytical object differs from the first analytical object, and outputting response
    Type: Grant
    Filed: June 3, 2022
    Date of Patent: December 12, 2023
    Assignee: ThoughtSpot, Inc.
    Inventors: Rakesh Kothari, Nikhil Yadav, Rahul Manikanta Balakavi, Hungpin Kao
  • Publication number: 20230394031
    Abstract: Generating object morphisms during object search includes obtaining object-search request data, wherein the object-search request data includes object-search terms, obtaining resolved-request data representing the object-search terms, determining that a first analytical object partially consistent with the resolved-request data is available, wherein the first analytical object is consistent with a first portion of the resolved-request data, generating candidate object-morphism data with respect to the first analytical object in accordance with a second portion of the resolved-request data, outputting object-search response data including the candidate object-morphism data for presentation to a user, obtaining data indicating a selected object morphism from the candidate object-morphism data, generating a second analytical object in accordance with the first analytical object and the selected object morphism, wherein the second analytical object differs from the first analytical object, and outputting response
    Type: Application
    Filed: June 3, 2022
    Publication date: December 7, 2023
    Inventors: Rakesh Kothari, Nikhil Yadav, Rahul Manikanta Balakavi, Hungpin Kao