sfguides

Interactive tutorial teaching Snowflake Cortex Agents. Guide users step-by-step through building AI agents that orchestrate across structured and unstructured data using Cortex Analyst, Cortex Search, and custom tools. Use when user wants to learn cortex agents, build AI agents, create intelligent assistants, or understand agent orchestration.

Advanced tutorial teaching Snowflake Cortex Agents with custom tools. Extends the base tutorial by adding stored procedure-based tools (inventory lookup, price calculator, product summary) alongside Cortex Analyst and Cortex Search. Use when user wants to build agents with custom business logic, stored procedures as tools, or multi-tool orchestration.

Interactive tutorial that teaches Cortex Code CLI from scratch. Guides non-technical users step-by-step through slash commands, skills, special syntax, sessions, and more. Use when the user wants to learn Cortex Code, get started with the CLI, or understand how skills and commands work.

Interactive tutorial teaching Snowflake Cortex Search for building semantic search and RAG applications. Guide users through creating search services and querying them using SQL and Python. Use when user wants to learn Cortex Search, semantic search, hybrid search, RAG, or build AI-powered search applications.

Deploy the Cortex CLASSIFY_TEXT tutorial notebook to the user's Snowflake account and provide a link to open it in Snowsight. Use when user wants to learn text classification through a Jupyter notebook experience.

Interactive tutorial teaching Snowflake Cortex CLASSIFY_TEXT for categorizing unstructured text. Guide users through classifying customer reviews using Python and SQL. Use when user wants to learn text classification, Cortex LLM functions, or analyze unstructured feedback data.

Interactive tutorial that teaches Snowflake Dynamic Tables hands-on. The agent guides users step-by-step through building data pipelines with automatic refresh, incremental processing, and CDC patterns. Use when the user wants to learn dynamic tables, build a DT pipeline, or understand DT vs streams/tasks/materialized views.