US 12,596,755 B1Granted

Query building using generative artificial intelligence

AssigneeHound Technology, Inc.

InventorsPhillip Michael Carter, Tatsiana Ramankova, Craig Adams Atkinson, Sarah Jeanne Voegeli

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Abstract

A system and method for building queries using generative artificial intelligence (AI) is described. In an example implementation, the system may include an observability platform configured to receive a user request to use generative artificial intelligence in association with a query on an observability platform. A blob of text may be generated based on the request and include information needed to execute a valid query on the observability platform. A server may be configured to include a generative AI engine and a web service to respond to the blob of text. The observability platform may determine whether the response from the generative AI engine is a valid query, meeting a threshold quality level. User feedback may be requested from the user to determine whether the query results answered the user input for query assistance.

Claims20

Dependent claims

A computer-implemented method comprising:

receiving a request to use generative artificial intelligence in association with a query on an observability platform;
generating a first blob of text based on the request;
sending the first blob of text based on the request to a generative artificial intelligence web service;
receiving a response from the generative artificial intelligence web service;
generating a validated response by validating that the response meets a threshold quality level by pre-parsing and processing the response into a test query in a data serialization format and determining the response meets the threshold quality level based on applying one or more query specification rules to the test query, wherein the threshold quality level is determined to be met based, in part, on other quality criteria that is dynamically adjusted based on historical querying data, different database schemas, and user interactions with the observability platform;
executing the validated response as the query on the observability platform;
and
responsive to determining that the response does not meet the threshold quality level, modifying the response to comply with one or more query specification rules,
wherein modifying the response to comply with the one or more query specification rules comprises:
pre-parsing and processing the response into a new query in the data serialization format;
identifying one or more portions of the response that prevents validating a parsed data serialization format object into a query format based, in part, on the one or more query specification rules;
modifying the one or more portions of the response to create a modified response, wherein the modifying comprises one or more of:
removing the one or more portions of the response, updating the one or more portions, or inserting one or more new portions programmatically;
and
executing the modified response as the query in the observability platform.

12 more elements

A system comprising one or more processors and memory operably coupled with the one or more processors, wherein the memory stores instructions that, in response to execution of the instructions by one or more processors, cause the one or more processors to perform operations including:

receiving a request to use generative artificial intelligence in association with a query on an observability platform;
generating a first blob of text based on the request;
sending the first blob of text based on the request to a generative artificial intelligence web service;
receiving a response from the generative artificial intelligence web service;
generating a validated response by validating that the response meets a threshold quality level by pre-parsing and processing the response into a test query in a data serialization format and determining the response meets the threshold quality level based on applying one or more query specification rules to the test query, wherein the threshold quality level is determined to be met based, in part, on other quality criteria that is dynamically adjusted based on historical querying data, different database schemas, and user interactions with the observability platform;
executing the validated response as the query on the observability platform;
and
responsive to determining that the response does not meet the threshold quality level, modifying the response to comply with one or more query specification rules,
wherein modifying the response to comply with the one or more query specification rules comprises:
pre-parsing and processing the response into a new query in the data serialization format;
identifying one or more portions of the response that prevents validating a parsed data serialization format object into a query format based, in part, on the one or more query specification rules;
modifying the one or more portions of the response to create a modified response, wherein the modifying comprises one or more of:
removing the one or more portions of the response, updating the one or more portions, or inserting one or more new portions programmatically;
and
executing the modified response as the query in the observability platform.

12 more elements

One or more non-transitory computer-readable storage media storing one or more sequences of instructions which, when executed using one or more processors, cause the one or more processors to execute a method comprising:

receiving a request to use generative artificial intelligence in association with a query on an observability platform;
generating a first blob of text based on the request;
sending the first blob of text based on the request to a generative artificial intelligence web service;
receiving a response from the generative artificial intelligence web service;
generating a validated response by validating that the response meets a threshold quality level by pre-parsing and processing the response into a test query in a data serialization format and determining the response meets the threshold quality level based on applying one or more query specification rules to the test query, wherein the threshold quality level is determined to be met based, in part, on other quality criteria that is dynamically adjusted based on historical querying data, different database schemas, and user interactions with the observability platform;
executing the validated response as the query on the observability platform;
and
responsive to determining that the response does not meet the threshold quality level, modifying the response to comply with one or more query specification rules,
wherein modifying the response to comply with the one or more query specification rules comprises:
pre-parsing and processing the response into a new query in the data serialization format;
identifying one or more portions of the response that prevents validating a parsed data serialization format object into a query format based, in part, on the one or more query specification rules;
modifying the one or more portions of the response to create a modified response, wherein the modifying comprises one or more of:
removing the one or more portions of the response, updating the one or more portions, or inserting one or more new portions programmatically;
and
executing the modified response as the query in the observability platform.

12 more elements

Dependencies are inferred from the claim text.