Explorer: Ask Relevance
When dealing with a big amount of data, clustering helps to break the data into meaningful categories. A useful next step is to get a summary over each category. Relevance AI provides you with the ability to automatically generate a summary over each category on the Explorer dashboard and under the category/cluster view. So make sure a category/cluster view tab/page is set up and selected.
Ask Relevance on the whole data
Under category view, Ask Relevance explores items within a specified category. If you wish to ask general question regardless of categories, you can use Ask Relevance view
Ask Relevance
"Ask Relevance" on the Explorer dashboard works best for AI-Clustering results. This feature can provide you with an answer to your question. Such as a summary over clusters or the top-mentioned items in bullet point format.
On a category view tab, scroll down to the desired category/cluster and click on "Ask Relevance" on the top right of the category/cluster.

Relevance AI - Access to "Ask Relevance" on Explorer
Auto summary
- Select the main field using the drop-down menu
- specify what is expected. For instance type in "Summarize this" under question 1
- Hit "Ask relevance"

Relevance AI - AI summary
Auto top n topics
- Select the main field using the drop-down menu
- specify what is expected. For instance type in "What are the top three items" under question 1
- Hit "Ask relevance"

Relevance AI - AI summary in bullet point
When the process is finalised a new section appears on the page with information about the data included in the selected category.

Relevance AI - Explorer - AI summary for a cluster
Tips
You should think of yourself as the driver - be helpful to the model and steer it where you want by giving it specific keywords and instructions
For good answers
- Give it a specific format and a clear action verb (i.e. prefix with In bullet-point format, list / Summarise concisely in a paragraph)
- Do not ask for x number of sentences - it does what it feels like
- Asking about key sentiments, key statistics if any, what SPECIFIC improvements …
- Be specific about what you want. You can ask what it thinks users want etc., but it will go off on a tangent sometimes or rephrase what is included in the category.
- Main takeaway is that you should think of yourself as the driver - be helpful to the model and steer it where you want by giving it specific keywords and instructions
Updated about 15 hours ago