Source
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.
Extract information with Document AI
Feature — Generally Available Available to accounts in AWS, Microsoft Azure, and Google Cloud commercial regions, with some exceptions. For more information, see Document AI availability. This topic describes extracting information from…
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…
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…
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_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.