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Snowflake Cortex AISQL (including LLM functions)
These task - specific functions are purpose - built managed functions that automate routine tasks, like simple summaries and quick translations, that don’t require any customization. AI_COMPLETE: Generates a completion for a given text…
AI_COMPLETE
Generates a response (completion) from text or an image using a supported language model. You can provide: A text prompt, to generate a response from the model.
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Question optimization for extracting information with Document AI
Question optimization for extracting information with Document AI Feature — Generally Available Available to accounts in AWS, Microsoft Azure, and Google Cloud commercial regions, with some exceptions.
AI_COMPLETE structured outputs
AI_COMPLETE lets you supply a JSON schema or type literal that completion responses must follow, producing structured output. Structured output reduces the need for post - processing in your AI data pipelines and enables seamless integration…
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AI_COMPLETE (Single string)
Generates a response (completion) for a text prompt using a supported language model. Syntax The function contains two required arguments and four optional arguments. The function can be used with either positional or named argument…
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_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…