Utilizing large language model (llm) in responding to multifaceted queries

A method implemented by one or more processors, the method comprising:

• receiving natural language (NL) based input associated with a client device;
• in response to receiving the NL based input:
• generating a plurality of candidate subqueries for the NL based input based on processing, using a generative model, a subquery generation prompt that is based on the NL based input;
• selecting, from the plurality of candidate subqueries and using one or more evaluation metrics, a subset of the candidate subqueries generated using the generative model,
• wherein the one or more evaluation metrics that are utilized in selecting the subset of the candidate subqueries evaluate diversity among the candidate subqueries and/or evaluate relevance of each of the candidate subqueries to the NL based input;
• obtaining, for each of the candidate subqueries of the subset, at least one corresponding search result;
• and
• processing the corresponding search results for the candidate subqueries of the subset, using the generative model or an additional generative model, to generate a response to the NL based input ;
• and
• causing the response to be rendered at the client device responsive to the NL based input.