Releasesby GlyphMany-to-many relationships in semantic views (Preview)
Many-to-many relationships are now in preview for semantic views. You can model a many-to-many relationship between two logical tables in either of the following ways:
Also shipped Nov 13, 2026Snowflake in November 2026 →
AI Function task support in Declarative Automation Bundles (Beta)
Support for AI Function tasks in Declarative Automation Bundles is now in Beta . See AI Function task .
Metabase 65.4
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Metabase 64.6
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Metabase 58.40
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Metabase 58.39
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Metabase 64.5
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More from Snowflake Cortex AIEvery Snowflake Cortex AI release →
Semantic view materializations (General availability)
Semantic view materializations are now generally available and are no longer in Preview . With materializations, you can pre-aggregate frequently queried dimensions and metrics in a semantic view to improve query performance.
AI_EXTRACT and AI_PARSE_DOCUMENT now support page filtering with FL_FILTER_PAGES
Snowflake's AI_EXTRACT and AI_PARSE_DOCUMENT functions now support the FL_FILTER_PAGES parameter, allowing users to process specific document pages directly within SQL.
Background runs and additional supplementary tools for agents in the Snowflake-managed MCP server
Snowflake added a background boolean parameter to CORTEX_AGENT_RUN and CODING_AGENT tools in its managed MCP server to enable non-blocking, pollable agent executions.
Cortex AI Gateway inference, observability, and cost management (General availability)
Inference, observability, and cost management for Cortex AI Gateway are now generally available. The gateway gives AI clients in your organization one governed endpoint to reach models, records a trace of every request, and attributes spend to the users who made it.
AI_EXTRACT updates
AI_EXTRACT now delivers a 12.8% relative improvement in average extraction accuracy compared with the previous version in our evaluations. Extract fields, lists, and tables more accurately from complex documents, including forms, handwritten content, dense tables, and charts.
Level of detail (LOD) expressions in semantic views (Preview)
Level of detail (LOD) expressions are now in preview for semantic views. An LOD expression calculates a value at a grain that's different from the query grain. You can use LOD expressions to:
Cortex Training (Preview)
Cortex Training is now available in preview, allowing users to customize open-weight LLMs using a serverless service within Snowflake.
Cortex Agents Coding Agent thinking effort, system instructions, and stage mounts
The Cortex Agents Coding Agent agent:run API now supports three additional public controls when using the code_toolset_all tool, providing more granular configuration for coding tasks.