Source
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…
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.
SnowConvert AI - Contact Us
SnowConvert AI - Contact Us SnowConvert AI is now a part of Snowflake.
Prepare your documents for Document AI
The documents must be 50 MB or less in size. Document pages must have dimensions of 1200 x 1200 mm or less. The images must be between 50 x 50 and 10,000 x 10,000 pixels.
SnowConvert AI - Preview Features Settings
The Preview Features Settings in SnowConvert AI allow you to enable conversions that utilize Snowflake Public Preview features.
AI_EXTRACT
Extracts information from an input string or file.
SnowConvert AI - Migration Assistant - Troubleshooting
SnowConvert AI Migration Assistant uses Snowflake Cortex AI to generate suggestions and explanations using Large Language Models (LLMs).
AI_TRANSCRIBE
Transcribes text from an audio file with optional timestamps and speaker labels. AI_TRANSCRIBE supports numerous languages, and audio can contain more than one language. Timestamps and speaker labels are extracted based on the specified…
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.
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…