Using natural language queries to conduct an investigation of a monitored system
Using natural language queries to conduct an investigation of a monitored system, the method comprising: receiving a natural language input; generating, by a large language model and based on the natural language input, a first query directed to one or more tables of a plurality of tables; generating, based on the first query, one or more second queries each directed to a different table of the one or more tables; and presenting, via a user interface, a response to each of the one or more second queries.
1. A method of using natural language queries to conduct an investigation of a monitored system, the method comprising:
receiving a natural language input;
generating, by a large language model and based on the natural language input, a first query directed to one or more tables of a plurality of tables;
generating, based on the first query, one or more second queries each directed to a different table of the one or more tables; and
presenting, via a user interface, a response to each of the one or more second queries by presenting each user interface element corresponding to the one or more tables.
2. The method of claim 1 , wherein each table of the plurality of tables corresponds to a different user interface element of the user interface.
3. The method of claim 1 , further comprising training the large language model using a training data set comprising a description for each of the plurality of tables.
4. The method of claim 3 , wherein the training data set further comprises one or more key-value mappings.
5. The method of claim 1 , wherein the one or more second queries comprise one or more column filters included in the first query.
6. The method of claim 1 , wherein generating the one or more second queries comprises:
generating a parse tree for the first query; and
generating the one or more second queries based on the parse tree for the first query.
7. The method of claim 6 , wherein generating the parse tree for the first query comprises requesting the parse tree for the first query from the large language model.
8. The method of claim 1 , wherein the first query comprises a first structured query language (SQL) query.
9. The method of claim 8 , wherein the one or more second queries comprise one or more second SQL queries.
10. A non-transitory computer program product for using natural language queries to conduct an investigation of a monitored system, the computer program product disposed on a computer readable medium, the computer program product including computer program instructions configurable to carry out the steps of:
receiving a natural language input;
generating, by a large language model and based on the natural language input, a first query directed to one or more tables of a plurality of tables;
generating, based on the first query, one or more second queries each directed to a different table of the one or more tables; and
presenting, via a user interface, a response to each of the one or more second queries by presenting each user interface element corresponding to the one or more tables.
11. The computer program product of claim 10 , wherein each table of the plurality of tables corresponds to a different user interface element of the user interface.
12. The computer program product of claim 10 , wherein the steps further comprise training the large language model using a training data set comprising a description for each of the plurality of tables.
13. The computer program product of claim 12 , wherein the training data set further comprises one or more key-value mappings.
14. The computer program product of claim 10 , wherein the one or more second queries comprise one or more column filters included in the first query.
15. The computer program product of claim 10 , wherein generating the one or more second queries comprises:
generating a parse tree for the first query; and
generating the one or more second queries based on the parse tree for the first query.
16. The computer program product of claim 15 , wherein generating the parse tree for the first query comprises requesting the parse tree for the first query from the large language model.
17. The computer program product of claim 10 , wherein the first query comprises a first structured query language (SQL) query.
18. The computer program product of claim 10 further comprising computer program instructions configurable to carry out the step of generating a polygraph.