diff --git a/site/sigmaguides/src/dataapps_snowflake_ask_cortex/assets/ct_1.png b/site/sigmaguides/src/dataapps_snowflake_ask_cortex/assets/ct_1.png index 087e47d3..e3593453 100644 Binary files a/site/sigmaguides/src/dataapps_snowflake_ask_cortex/assets/ct_1.png and b/site/sigmaguides/src/dataapps_snowflake_ask_cortex/assets/ct_1.png differ diff --git a/site/sigmaguides/src/dataapps_snowflake_ask_cortex/assets/ct_17.png b/site/sigmaguides/src/dataapps_snowflake_ask_cortex/assets/ct_17.png index 7f20a02c..0037cace 100644 Binary files a/site/sigmaguides/src/dataapps_snowflake_ask_cortex/assets/ct_17.png and b/site/sigmaguides/src/dataapps_snowflake_ask_cortex/assets/ct_17.png differ diff --git a/site/sigmaguides/src/dataapps_snowflake_ask_cortex/assets/ct_17a.png b/site/sigmaguides/src/dataapps_snowflake_ask_cortex/assets/ct_17a.png new file mode 100644 index 00000000..fd7411e6 Binary files /dev/null and b/site/sigmaguides/src/dataapps_snowflake_ask_cortex/assets/ct_17a.png differ diff --git a/site/sigmaguides/src/dataapps_snowflake_ask_cortex/dataapps_snowflake_ask_cortex.md b/site/sigmaguides/src/dataapps_snowflake_ask_cortex/dataapps_snowflake_ask_cortex.md index 66e84c91..a13d25a3 100644 --- a/site/sigmaguides/src/dataapps_snowflake_ask_cortex/dataapps_snowflake_ask_cortex.md +++ b/site/sigmaguides/src/dataapps_snowflake_ask_cortex/dataapps_snowflake_ask_cortex.md @@ -234,6 +234,12 @@ The query will return about 900,000 rows and 14 columns. We can toggle the SQL s + + +For more information on current restrictions, see Snowflake's documentation on [Model restrictions.](https://docs.snowflake.com/en/user-guide/snowflake-cortex/llm-functions#model-restrictions) + Rename the table to `SALES_FACT_CURATED`. Rename the data model to `Cortex QuickStart Data Model`. @@ -452,7 +458,11 @@ To save time, the structure of the required input table is available as a CSV fi -On the `Data` page, add a `CSV input table` based on the downloaded CSV file. When prompted, use the same Snowflake connection you’ve already been using. +On the `Data` page, add a `CSV input table` based on the downloaded CSV file. + + + +When prompted, use the same Snowflake connection you’ve already been using. You’ll need to adjust the `Last updated at` and `Date` columns to the `Date` data type, as the import did not detect the correct type from the CSV: