Add Hints to Assist Query Building

Add example questions as hints to help the application understand user intent and generate accurate responses.

Add Hints for Query Processing #

Hints serve as a reference for the LLM model to construct relevant SQL queries during conversations.

Add Natural Language Input #

Enter sample questions in natural language that users may ask while interacting with the application. These inputs help the system understand typical questions and improve query accuracy.

Example: What is the compensation trend for sales employees in the last quarter?

Add SQL Query #

Provide the corresponding SQL query for each hint. This acts as a reference for the LLM model to generate structured queries dynamically.

Example:

SELECT compensation, department, region 
FROM employee_data 
WHERE department = 'Sales' 
AND date BETWEEN 'last quarter start' AND 'last quarter end';

Show Hints in Conversations #

Each hint row has a checkbox: Use this as a suggestion during conversations.

The top four selected hints will be prioritized and shown to users as suggested questions in the conversation.