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.
AI_EXTRACT
Extracts information from an input string or file.
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…
AISQL AI_PARSE_DOCUMENT
AI_PARSE_DOCUMENT is a fully managed SQL function that extracts text and layout from documents stored on internal or external stages, preserving structure like tables, headers, and reading order.
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.
AI Observability in Snowflake Cortex
Use AI Observability in Snowflake Cortex to evaluate and trace your generative AI applications. With AI Observability, you can make your applications more trustworthy and transparent. Use it to measure the performance of your AI…
SnowConvert AI - Migration Assistant - Troubleshooting
Guidance on resolving issues you may encounter when using the SnowConvert AI Migration Assistant. 1. The Explanation or Fix suggestion is incorrect SnowConvert AI Migration Assistant uses Snowflake Cortex AI to generate suggestions and…
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_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…
Snowflake AI Observability Reference
A dataset is a set of inputs that you use to test the application. It can also contain a set of expected outputs (the ground truth). You can use the TruLens Python SDK to specify the dataset as either a Snowflake table or a pandas…