Graph and vector usage for automated qa system

A system comprising:

• one or more memories collectively storing computer-executable instructions;
• and
• one or more processors configured to collectively execute the computer-executable instructions and cause the system to:
• receive a query input from a user;
• decompose the query input into a plurality of tasks;
• query a knowledge graph to identify one or more relevant entities based on at least one of the plurality of tasks;
• searching a vector database to identify one or more text chunks comprising natural language text in the form of structured sentences that correspond to the one or more relevant entities;
• identifying content relevant to at least one of the plurality of tasks by parsing the natural language text in the form of structured sentences, within the one or more text chunks;
• and
• generate an answer based on the identified content.

A computer program product, comprising:

• a computer-readable storage medium having computer-readable program code executable by a computer to cause the computer to:
• receive a query input from a user;
• decompose the query input into a plurality of tasks;
• query a knowledge graph to identify one or more relevant entities based on at least one of the plurality of tasks;
• searching a vector database to identify one or more text chunks comprising natural language text in the form of structured sentences that correspond to the one or more relevant entities;
• identifying content relevant to at least one of the plurality of tasks by parsing the natural language text in the form of structured sentences, within the one or more text chunks;
• and
• generate an answer based on the identified content.