Official Snowflake Cortex documentation and reference guides.
Official guide to all AI and ML features built into the Snowflake platform.
SENTIMENT, SUMMARIZE, TRANSLATE, EXTRACT_ANSWER, CLASSIFY_TEXT — all built-in LLM functions.
Generate text responses using LLMs directly in SQL — chat, summarise, and create content.
Fully managed hybrid search (vector + keyword) over your Snowflake data for RAG pipelines.
Natural-language to SQL — let users query structured data by asking questions in plain English.
Generate text embeddings using Snowflake-managed models for semantic search and RAG.
Fine-tune LLMs on your own data within Snowflake — no data movement required.
Filter unsafe and harmful LLM responses with built-in content safety powered by Llama Guard.
Full official Snowflake documentation — platform guides, SQL reference, and more.