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- Cortex Agents REST API - Snowflake Documentation
Cortex Agents can generate textual and chart answers based on executed SQL queries The following example shows how to use the Cortex Agents API to generate such answers
- Getting Started with Snowflake Cortex Agents API and React
Download the semantic model (NOTE: Do NOT right-click to download ) 3 Define Environment Variables 4 Run the Application 5 Explain the Integration 6 Conclusion and Resources
- Cortex Agents: Unifying Data Insights with Snowflake
Snowflake's Cortex Agents unify structured analytics and unstructured search, offering a seamless experience for complex data queries
- Cortex Agents - Snowflake Documentation
Cortex Agents orchestrate across both structured and unstructured data sources to deliver insights They plan tasks, use tools to execute these tasks, and generate responses
- Cortex Agents | Snowflake Documentation
Agents use Cortex Analyst (structured) and Cortex Search (unstructured) as tools, along with LLMs, to analyze data Cortex Search extracts insights from unstructured sources, while Cortex Analyst generates SQL to process structured data
- Create AI Agents on Snowflake with Lang. ai
The CREATE WAREHOUSE and CREATE COMPUTE POOL are required by the Lang ai Native App to create and manage resources for performing service operations Learn more here
- Snowflake AI Agents by Lang. ai
Snowflake AI Agents by Lang ai Native App user interface to explore and export the insights Grant Relevant Data access to the AI Agent Create View to join all Relevant Data AI Agent runs analysis automatically based on the
- Your Enterprise Data Needs an Agent - Snowflake
Snowflake is expanding its AI capabilities with the public preview of Cortex Agents, to help retrieve data insights by orchestrating across structured and unstructured datasets
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