A walkthrough of using Snowflake Cortex LLM functions (AI_COMPLETE, AI_TRANSLATE, AI_SENTIMENT, AI_CLASSIFY, AI_EXTRACT, AI_PARSE_DOCUMENT, AI_TRANSCRIBE) through Sigma's CallText/CallVariant wrappers. Covers sentiment analysis, translation, classification, and querying across all rows using AI_COMPLETE with LISTAGG. Also includes a stored procedure and Python UDF for processing unstructured files (images, audio/video, PDFs, Excel, CSV) stored in Snowflake stages, enabling conversational AI queries across all file types via Sigma's new agent feature.
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Quick-hit Snowflake Cortex LLM functions brought to life via Sigma.Get Jeff Carpenter’s stories in your inboxSort: