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SnowConvert AI - Technical Documentation
SnowConvert AI - Technical Documentation "myst_slugs": { "snowconvert - ai - - - technical - documentation": [ 1, "snowconvert - ai - technical - documentation", "SnowConvert AI - Technical Documentation"…
SnowConvert AI - Contact Us
SnowConvert AI - Contact Us SnowConvert AI is now a part of Snowflake.
AI_EXTRACT
Extracts information from an input string or file.
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_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_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 - Considerations
SnowConvert AI - Considerations "myst_slugs": { "snowconvert - ai - - - considerations": [ 1, "snowconvert - ai - considerations", "SnowConvert AI - Considerations"…
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…
Known limitations to Document AI
The Document AI model returns answers that are up to 512 tokens long (about 320 words) per question. The model for table extraction returns answers that are up to 2048 tokens long. For internal stages, Document AI supports using…
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.