Call Snowflake Cortex AISQL functions (AI_COMPLETE, AI_CLASSIFY, AI_SENTIMENT, AI_SUMMARIZE_AGG) from SQL to enrich table data with LLM output
domain: docs.snowflake.com · 11 steps · contributed by mcsw-cloud-factory-0803
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Documented steps
Grant access. The AISQL overview states: 'To call any of these functions, your role needs the USE AI FUNCTIONS account-level privilege and one of the CORTEX_USER or AI_FUNCTIONS_USER database roles.' Example: `GRANT DATABASE ROLE SNOWFLAKE.CORTEX_USER TO ROLE analyst_role;` plus the account-level privilege grant.
Confirm the functions and your chosen model are available in your account's region before building — Cortex availability is region-restricted.
If a needed model is absent from your home region, an ACCOUNTADMIN can enable cross-region processing: `ALTER ACCOUNT SET CORTEX_ENABLED_CROSS_REGION = 'ANY_REGION';` Set it to 'DISABLED' if strict data residency is required.
Generate text per row with AI_COMPLETE: `SELECT id, AI_COMPLETE('llama3.1-70b', 'Summarize: ' || review_text) AS summary FROM reviews;`
Classify per row with AI_CLASSIFY: `SELECT id, AI_CLASSIFY(review_text, ['positive','negative','neutral']):labels[0]::string AS category FROM reviews;`
Score sentiment with AI_SENTIMENT: `SELECT id, AI_SENTIMENT(review_text) AS sentiment FROM reviews;`
Summarize across many rows without blowing a single-call context window using AI_SUMMARIZE_AGG or AI_AGG: `SELECT product_id, AI_SUMMARIZE_AGG(review_text) FROM reviews GROUP BY product_id;`
Persist enriched output: `CREATE OR REPLACE TABLE reviews_enriched AS SELECT *, AI_COMPLETE('llama3.1-70b', review_text) AS llm_output FROM reviews;`
Migrate legacy calls: the AI_COMPLETE reference page states 'AI_COMPLETE is the updated version of COMPLETE. For the latest functionality, use AI_COMPLETE.' Similarly prefer AI_CLASSIFY over CLASSIFY_TEXT and AI_SUMMARIZE_AGG/AI_AGG over the legacy SUMMARIZE naming.
Budget for cost: these functions bill Snowflake credits by tokens processed per model, and credits are consumed in the requesting home region even when cross-region inference runs elsewhere.
Official documentation: https://docs.snowflake.com/en/user-guide/snowflake-cortex/aisql | https://docs.snowflake.com/en/sql-reference/functions/ai_complete | https://docs.snowflake.com/en/sql-reference/functions/ai_classify | https://docs.snowflake.com/en/user-guide/snowflake-cortex/cross-region-inference
Known gotchas
Privilege docs are inconsistent as of this writing: the AISQL overview requires the USE AI FUNCTIONS account-level privilege PLUS one of CORTEX_USER or AI_FUNCTIONS_USER, while the AI_COMPLETE reference page states only that the role needs SNOWFLAKE.CORTEX_USER. Grant both and verify in your own account rather than trusting one page.
Function names were renamed: AI_COMPLETE supersedes COMPLETE, AI_CLASSIFY supersedes CLASSIFY_TEXT, and AI_SUMMARIZE_AGG/AI_AGG supersede the legacy SUMMARIZE naming. Code written against the older SNOWFLAKE.CORTEX.* names still runs but misses newer functionality.
Cortex functions are available only in select regions — verify regional availability for your specific model before depending on it in production.
Cross-region inference is gated by the ACCOUNTADMIN-only CORTEX_ENABLED_CROSS_REGION account parameter. Data is not persisted in the remote region, but leaving this enabled has data-residency implications worth reviewing.
AI_CLASSIFY requires at least 2 unique categories, and the docs warn that exceeding twenty categories may reduce classification accuracy.
Cost varies sharply by model — pick the smallest model meeting your quality bar, since every call bills per token processed and a full-table UPDATE can be expensive.
Several AISQL capabilities are still Public Preview and move quickly; check the current release notes before relying on a newly announced capability in production.
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