Generative summaries for search results

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

• receiving a query associated with a client device;
• generating large language model (LLM) output based on processing input using an LLM, the input being based on the query and/or corresponding content from one or more search result documents that are responsive to the query;
• generating a natural language (NL) based summary using the LLM output;
• causing the NL based summary to be rendered, at the client device, along with corresponding links to one or more of the search result documents that are responsive to the query;
• determining, subsequent to the NL based summary being rendered at the client device, occurrence of an interaction with a given search result document of the search result documents;
• based on determining the occurrence of the interaction with the given search result document:
• generating revised LLM output based on processing revised input using the LLM or an additional LLM, the revised input reflecting occurrence of the interaction with the given search result document, and the input not reflecting the occurrence of the interaction with the given search result document;
• generating a revised NL based summary using the revised LLM output;
• and
• causing the revised NL based summary to be rendered at the client device.