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Overview of Snowflake Intelligence
Snowflake Intelligence uses agents, which are AI models that are connected to one or more semantic views, semantic models, Cortex search services, and tools. Agents can answer questions, provide insights, and show visualizations.
Snowflake Cortex AISQL (including LLM functions)
These task - specific functions are purpose - built managed functions that automate routine tasks, like simple summaries and quick translations, that don’t require any customization. AI_COMPLETE: Generates a completion for a given text…
SnowConvert AI - Contact Us
SnowConvert AI - Contact Us SnowConvert AI is now a part of Snowflake. For additional information about SnowConvert AI, please contact us at: For additional information, contact: snowconvert-info@snowflake.com For technical support, contac…
December 12, 2024 — Document AI release notes
With this release, we are pleased to announce the following improvements in Document AI: Doubling the length limit of the answers provided by the model. The model can now return answers that are up to 512 tokens long (about 320 words) per…
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.
Jun 02, 2025: AI_CLASSIFY supports up to 500 labels and multi-label classification
Use AI_CLASSIFY to classify text into multiple categories and define up to 500 labels. Instead of using the SNOWFLAKE.CORTEX.CLASSIFY_TEXT function, which is limited to a single label and 100 categories, you can use AI_CLASSIFY instead.
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_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_COMPLETE (Prompt object)
Generates a response (completion) for a prompt object. The prompt object references one or more columns containing text or image data. Syntax The function can be used with either positional or named argument syntax.
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…