How they use Tavily
Snowflake AI Research used Tavily Search API in ArcticSwarm’s live-web BrowseComp evaluation. The search router tried Brave first, followed by Tavily and then Serper. The paper reports that Tavily answered 5,610 of 17,125 unique outbound search queries, or 32.8%. A shared cache deduplicated searches across subagents within each case, achieving a 92.4% search-cache hit rate across 226,213 search tool calls. This disclosure concerns a research evaluation.
Separately, Tavily announced a Snowflake Intelligence integration and a native app on Snowflake Marketplace. These let Snowflake users add web search to agents and worksheets. Tavily’s documentation describes installing the app, configuring external API access and attaching its search procedure to an agent.
Sources
2 sourcesTavily Snowflake native-app documentation
15 Oct 2026 · Tavily · Web page
Tavily documents installing its Snowflake native app and configuring web search for worksheets and Snowflake Intelligence agents.
Open original sourceCompany context
snowflake.comSnowflake provides a managed cloud platform for enterprise data, analytics and AI. Data engineers, analysts, data scientists and application developers use its AI Data Cloud to build data pipelines, query and share information, develop applications and run machine-learning workloads. Its products include data warehousing and analytics, Cortex AI for language-model and search applications, Snowpark for processing data in Python, Java and Scala, and Horizon for centralized governance. Customers span financial services, healthcare, retail, manufacturing, telecommunications and the public sector.
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