Generative Search

Generative Search utilizes large language models to transform query results into engaging narratives. This approach processes natural language to generate human-like outputs, suitable for enhancing user engagement with data-driven content.

For instance, if your data includes various historical events, users can simply enter a general prompt like "important events in the 20th century" and receive a narrative summarizing the events in an engaging manner. This method is beneficial for creating narrative content, resonating with human readers, and summarizing complex data into key insights.


Generative Search can be applied using several techniques, which can be adapted depending on your application's needs:

Example 1 - Single Prompt Generative Search

Example 2 - Grouped Task Generative Search

Example 3 - Property Selection