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# Building a Scalable Routing Solution for Cortex Agents in Snowflake

**[Snowflake Community](https://daily.dev/sources/snowflake_comm)** · 13 min read · 1 upvotes · 0 comments

## Summary

A step-by-step guide to building a routing agent in Snowflake that automatically dispatches user questions to the most appropriate Cortex Agent. The solution uses an auto-syncing agent registry, Cortex Search for semantic matching, native RBAC filtering, and multi-turn conversation thread tracking — all in pure SQL with no Python dependencies. Key components include a sync procedure that discovers agents hourly, a Cortex Search service for natural language matching, an RBAC filter using SHOW GRANTS, thread mappings for conversation continuity, and a routing agent orchestrated with Claude that ties everything together. The complete code is available in a companion GitHub repository.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/snowflake/building-a-scalable-routing-solution-for-snowflake-cortex-agents-b6bf78338abb>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#snowflake](https://daily.dev/tags/snowflake), [#vector-search](https://daily.dev/tags/vector-search)

[View this post on daily.dev](https://daily.dev/posts/building-a-scalable-routing-solution-for-cortex-agents-in-snowflake-hilpp8jsb)

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