How they use Tavily
Together AI uses Tavily for web search and page retrieval in its Open Deep Research workflow. The open-source implementation plans searches, collects sources, checks for knowledge gaps and iterates before writing research reports. Together AI says Tavily returns raw page content in a single call, avoiding separate search and scraping steps.
The team evaluated the workflow on 150 questions sampled from FRAMES, SimpleQA and HotPotQA. It also tested the effect of multiple search steps and gave its SmolAgents comparison agent access to a Tavily search tool. The released repository includes Tavily API key configuration.
Sources
4 sourcesTogether Open Deep Research repository
19 Oct 2026 · GitHub · Web page
Together AI's Open Deep Research repository instructs users to configure a Tavily API key for the released research workflow.
Open original sourceTavily open-source research projects
19 Oct 2026 · Tavily · Web page
Tavily lists Together Open Deep Research in its Open Source Research Projects section.
Open original sourceComment on Together AI's Open Deep Research announcement
19 Oct 2026 · LinkedIn · Web page
Yuval Perry comments on Together AI's Open Deep Research announcement that the team selected Tavily as its web search and retrieval provider.
Open original sourceCompany context
together.aiTogether AI provides a cloud platform for developers and enterprises to build and run applications using open and custom AI models. Its products include serverless inference APIs, dedicated model deployments, fine-tuning and training services, and GPU clusters. Teams use the platform to serve models in production, adapt them to their own data and tasks, and obtain computing capacity for AI workloads. Its customers include companies developing coding assistants, customer-service agents, and other generative AI applications.
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