Source
Document AI
Document AI is a Snowflake AI feature that uses Arctic - TILT, a proprietary large language model (LLM), to extract data from documents.
AI_AGG
Reduces a column of text data using a natural language instruction. For example, AI_AGG(reviews, 'Describe the most common complaints mentioned in the book reviews') will return a summary of user feedback.
AI_SUMMARIZE_AGG
Summarizes a column of text data. For example, AI_SUMMARIZE_AGG(churn_reason) will return a summary of the churn_reason column. Unlike AI_COMPLETE and SUMMARIZE (SNOWFLAKE.CORTEX), this function supports datasets larger than the maximum…
AI_COMPLETE (Prompt object)
Generates a response (completion) for a prompt object. The prompt object references one or more columns containing text or image data. Syntax The function can be used with either positional or named argument syntax.
AI_CLASSIFY
AI_CLASSIFY is the updated version of CLASSIFY_TEXT (SNOWFLAKE.CORTEX). For the latest functionality, use AI_CLASSIFY. Classifies text or images into categories that you specify.
AI_COUNT_TOKENS
Returns the number of tokens in a prompt for the specified large language model or task - specific function.
AISQL AI_PARSE_DOCUMENT
AI_PARSE_DOCUMENT is a Cortex AI SQL function that extracts text, data, and layout elements from documents with high fidelity.
AI_FILTER
Classifies free - form prompt inputs into a boolean. Currently supports both text and image filtering.
Extract information with Document AI
Feature — Generally Available Available to accounts in AWS, Microsoft Azure, and Google Cloud commercial regions, with some exceptions.
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