Tavily Events brings together the builders, researchers, and teams shaping the future of search-powered AI through webinars, workshops, meetups, and conferences worldwide. Come learn, connect, and ship.
Come build the future of travel and hospitality in one day. Founders, engineers, and designers will team up, build real products, and demo them to founder-judges.
We're bringing Tavily to HumanX Amsterdam! Come find us at our booth and see how AI agents access the real-time web
Join the Tavily team in NYC. Interrupt brings together the builders, engineers, and teams shaping what's next for agents.
We're at the AI Conference in SF! Find us at booth 120 to connect with the team and learn how Tavily powers real-time web access for AI agents — then come to our lunch session to hear our talk and go deeper.
Join the Tavily team in NYC. Interrupt brings together the builders, engineers, and teams shaping what's next for agents.
Most teams can build an AI agent. Far fewer can deploy one that is reliable, observable, and cost-effective in production. In this live session, we’ll build a compliance audit AI agent based on a real-world case study using the Nebius Agents Blueprint. Then we’ll replace the standard agent configuration with LangChain Deep Agents optimized for NVIDIA Nemotron 3 Ultra and demonstrate how to achieve frontier-level quality at roughly one-tenth of the cost. What you’ll learn Deploy an AI agent using the Nebius Agents Blueprint Build with LangChain Deep Agents, Tavily and NVIDIA Nemotron 3 Ultra without model fine-tuning Compare an open-model architecture with a frontier-model approach to understand the trade-offs in quality and cost Add production capabilities including grounding, retrieval, observability, and simulation testing with Tavily, Pinecone, LangSmith, and Snowglobe Reproduce the complete implementation using the architecture and code shared during the session Who should attend AI/ML engineers building agents who want a production-ready architecture Platform and infrastructure teams responsible for deploying AI systems Technical leaders evaluating open-model agents versus closed frontier models for cost, control, and reliability Teams moving from prototypes to production and looking for practical architecture patterns
Get a technical walkthrough from a Tavily Forward Deployed Engineer on how engineers are using Tavily to build production-grade coding agents. Then, JetBrains will join us to walking through how they integrated Tavily to power their recently launched coding agent, Junie. Bring your questions, edge cases, and half-baked ideas. Whether you're prototyping or scaling, you'll leave with something you can actually use.
Learn how to build high-accuracy research agents using the #1 Deep Research benchmarked Search API. In this live session, we’ll show how to build a grounded, reliable research architecture that powers agent workflows with fast, verifiable, and up-to-date web data.
Give your AI agents real-time web access with Tavily. In this 60-minute Tavily 101 session, you’ll see how developers integrate Tavily in minutes, explore top use cases, and learn where it fits in your AI stack, plus a live demo and Q&A. Sign up to join or get the recording!