AI visual

The AI visual provides a natural language interface for exploring datasets through text or speech. It enables you to ask questions in everyday language and receive contextual, data-driven responses directly within dashboards. By combining conversational input with flexible query approaches, the AI visual makes it easier to analyze data and discover insights without requiring technical expertise.

When added to a dashboard, the AI visual connects to the selected dataset and answers user questions using the configured AI Approach. Depending on the settings and the query, it may:

• Use the ongoing conversation context – Reference previous exchanges to provide more relevant, contextual answers.
• Run a SQL query – Translate the user question into SQL, run it on the dataset, and summarize the results.
• Perform a similarity search – Run a query against the vectorized dataset and return matching records.

The retrieved information is then passed to the large language model, which generates a natural language response displayed within the visual.

The AI visual can apply smart filters to your dashboard based on your questions. For example, asking about a specific topic will automatically adjust other visuals to highlight relevant data. This helps validate the AI’s response and offers a more intuitive way to explore insights, without the need to manually search through filters or menus.