Snowflake Intelligence Architecture: A Modular Agent–Tool Interaction Model

 This post introduces a conceptual data model for understanding the architecture of Snowflake Intelligence, a modular system that orchestrates agent-driven interactions with analytical and search tools. Each entity—Agent, Tool, Cortex Analyst, and Cortex Search Service—is defined by its attributes and operational role. The framework visualizes how orchestration and response instructions flow through tool modules, enabling structured analysis and filtered search capabilities.

Modeling Based on the Author's Perspective

Entity Name	Attributes	Description
Agent	Snowflake Intelligence Orchestration Instruction Response Instruction Example Question	The central orchestrator that interprets instructions and routes tasks to appropriate tools.
Tool	Tool – Cortex Analyst Tool – Cortex Search Service Custom Tool	Modular interfaces that execute analytical or search functions based on agent directives.
Cortex Analyst	—	Performs structured analysis tasks, often triggered by the Cortex Analyst tool module.
Cortex Search Service	Max Results	Executes search queries and returns filtered results based on defined parameters.
Cortex Search Service Column	Searchable Flag Attribute Flag	Defines column-level metadata for search filtering and attribute targeting.
Search Results Filter	—	Applies post-query filtering logic to refine and contextualize search outputs.

By modeling Snowflake Intelligence as a layered agent–tool architecture, this framework clarifies how orchestration logic and modular tools collaborate to deliver structured analysis and contextual search. It supports applications in enterprise intelligence, semantic search, and adaptive automation.