Source
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.
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…
AI_EXTRACT
Preview Feature — Open Available to all accounts. Extracts information from an input string or file.
SnowConvert AI - Command Line Interface
To execute a conversion with the SnowConvert AI CLI you have to have an active access code. Currently, the access codes for the CLI are different than the UI, but if you already have an access code for the UI you should be able to reuse…
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
AI_COUNT_TOKENS is the updated version of COUNT_TOKENS (SNOWFLAKE.CORTEX). For the latest functionality, use AI_COUNT_TOKENS. Returns the number of tokens in a prompt for the specified large language model or task - specific function.
SnowConvert AI - Contact Us
SnowConvert AI - Contact Us SnowConvert AI is now a part of Snowflake.
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…
SnowConvert AI - Redshift - SQL Statements
Translation reference for all the supported statements by SnowConvert AI for Redshift.