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Best Practices

Here is a list of best practices you must follow while designing semantic model to get better clarity in response:

1. Ensure that you provide proper tags and descriptions to provide a clear business context. Column level description should be leveraged to provide information like:

   1. Sample 2-3 values for domain-specific attributes.

   2. Defining special date time aspects like Holiday months, Weekdays/Weekends other than usual ones, Business season, etc.

   3. Some special instructions you want LLM to follow, like not using specific columns for certain purposes. For example, order priority is used to identify returned orders.

2. Always have complete date attribute in the semantic model along with Predef Hierarchy.

3. Hide all unnecessary Levels, Attributes, and Measures not required for conversational analytics.

4. Ensure that you clearly define the Keys field for level and attributes for which you want a different sort order than the order of the display field.

5. The clearer the context of the question, the better the response will be. For instance, instead of asking, "Show sales for 143-435-564," you should ask, "Show sales for product ID 143-435-564."

6. Break down complex questions into smaller, more specific follow-up questions. For example, <>

7. Refer to the metadata of a semantic model to better frame your questions in alignment with the model's capabilities and the type of information it can provide.

Considerations

• Kyvos copilot leverages LLM to convert natural language to SQL which might produce inaccurate generation sometimes. Always verify the answer by check info part of the answer, in case of error or incorrect response, try regenerating the answer by re-submitting the question.

• Copilot can't make layout changes. For example, if you tell Copilot to resize the visuals or to align all the visuals perfectly, it won't work.