Prompt Guide
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Similar to talking to ChatGPT, Rasgo's AI understands some questions better than others. Here's a guide to craft the best possible question prompts for your data question.
Rasgo's AI is using your question to , pick the right table or tables, and then craft an accurate SQL query. That's a lot of steps! The more detail you can share in your prompt, the better AI will do at navigating that task. Details that can be helpful to include:
How should AI aggregate the data, if at all (i.e. Total, Average, Max, etc...)
Do you have an idea of what table or tables AI should look at? Even a guess can be helpful (i.e. "Use our Master Sales table")
Want your query to apply filters to the data? Include both the column and the values in that column you want to filter, if possible (i.e. "... for customer Acme Corp", where customer is the column and Acme Corp is the value in the customer column that you want to filter to)
Just like a 5 year old, you don't want to give AI the wrong ideas... It's not very good at discerning the "negative" instruction (i.e. "Don't use column ABC"). Instead, focus on telling AI what to do whenever possible (i.e. "Use a column starting with DEF").
If you're not sure where to start, this is a good template that very reliably translates to SQL:
sales for Acme Corp
total sales for Customer Name Acme Corp by month
"Total" tells AI to sum the sales, instead of selecting rows of transactions
Customer Name helps AI find the right column
top products based on growth
Top 10 products by total sales based on year over year change for current year vs previous year
"by total sales" tells AI what data to use to rank the products
"current year vs previous year" indicates the time ranges for calculating the growth rate
using terms like "current" and "previous" will result in analysis that is relative to the current date
if you prefer hard coded dates, you would instead say "for 2023 vs 2022"
what color products are popular
What are the top 10 most popular product colors based on number of orders for the current year to date
including a date range will help limit the data queried
"based on number of orders" tells AI what metric to use to approximate popularity
Rasgo AI, like all generative AI, is token limited. For that reason, we only let the AI see a preview of the query result (up to 100 rows).
Notes and descriptions that contradict each other or don't clearly identify data will either be ignored or will confuse the AI when it retrieves them from the metadata graph.