Source
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.
Mar 17, 2025: Document AI release notes
When you review the answers that the Document AI model provides, you can now highlight the answer within a document by selecting the locate answer icon. Note that highlighting does not work for the answers provided by the model before this…
SnowConvert AI - Contact Us
SnowConvert AI - Contact Us SnowConvert AI is now a part of Snowflake.
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.
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_COMPLETE (Single image)
Generates a response (completion) for a text prompt using a supported language model. Syntax The function has two required arguments and four optional arguments. The function can be used with either positional or named argument syntax.
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_EMBED
Creates an embedding vector from text or an image. Embeddings are abstract numerical representations of the features of a piece of text or an image that can be used to determine the degree of similarity between pieces of text or…
AI_SIMILARITY
Computes a similarity score based on the vector cosine similarity value of the inputs’ embedding vectors. Currently supports both text and image similarity computation.