Are you heading to @LangChain Interrupt26, NYC? Stop by our booth, say hello, and join the closing reception we're sponsoring from 5:00-6:30pm. During the event, you'll hear keynotes from industry leaders, have access to hands-on workshops, and see LangChain agents using real-time web retrieval with Tavily. After the event, we're hosting an exclusive dinner with Nebius, where our Founder and CEO, Rotem Weiss, and @nebiusai's Developer Relations Advisor, Rob Spectre, will get the conversations started on what it takes to move agents from demo to production. Request to join the dinner:

You can now bring real-time web search directly into your @Replit workflow via Tavily 😎 Our DevRel, @tavily_rick, put together a quick demo showing how to connect Tavily to Replit and start using it. Watch below. And if you’re in San Francisco on October 9, Replit will be co-hosting Builders & Brews with us. We’ll be bringing together developers, founders, and AI builders for an evening of agents, coffee, and hands-on building. ☕ Join us at Builders & Brews:

We're excited to introduce and be a part of Agentic AI, a free hands-on course from @Nebius_Academy and @NVIDIA where you get to build your own deep research agent that searches the web, reasons, delegates to subagents, and gets deployed. The whole course takes about four hours, and curriculum includes: Module 1: Intro to managed inference Module 2: Agentic web search (preview video by @lakshyaag attached) Module 3: Orchestrating deep research Module 4. Evaluating Deep Research Module 5. Making persistent agents Module 6. Agent deployment Enroll and run through the modules for free, get a digital badge, and then take the Agentic AI Builder Certification exam for $1. Get started:

We sat down with Shriram Sridharan, Co-founder & CTO at @rox_ai, to hear what it took to add the right web search provider to the GTM agents their customers depend on. The Rox team found with their original provider, customers weren’t getting up-to-date results, and costs were moving up. That’s when Rox turned to Tavily. Hear how Rox stood up an infrastructure in two weeks that now tracks millions of accounts and billions of contacts, cutting a sales rep's research time from weeks to running itself overnight:

We're co-hosting Alpine Agentic Search, an AI community meetup with @nebiusai in Zurich, Switzerland on Wed. October 7. 𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗮𝗿𝗲𝗮, 𝗰𝗼𝗺𝗲 𝗷𝗼𝗶𝗻 𝘂𝘀! We'll be talking about everything from low-level search primitives on modern GPUs, through advanced retrieval and ranking, to the latest developments in agents for search workloads. You'll hear four technical talks, including one from @NVIDIA, and have time for networking, drinks, and bites. Request to join:

The Managing Director, ERPM Data and AI Technology at @BMO, Ashutosh Sinha, realized that the manual research their analysts were running for AML either required adding more people or automation to keep up with demand. So, Ashutosh turned to Tavily for automation.  BMO technology and the Tavily team worked together to build a retrieval layer for secure web search and faster risk determination that allows analysts to move through more reviews, with confidence in the findings.  This was the first production use case with Tavily for BMO, and it won't be the last. Read the full story, and see why Tavily fit right in with BMO's security review:

Your @NanoClaw_AI agent just got a new, live view of the web. Tavily Search and Extract are now available in NanoClaw, and there's no API key required to start. With the Tavily integration, your persistent, isolated NanoClaw agents in Slack, Telegram, Discord, WhatsApp, and the CLI, come with: - Search and Extract for current, source-backed answers - A keyless start, then connect a Tavily key when you need more capacity (the agent never sees the key) - Reliable returns you can use for developer research, scheduled intelligence briefs, or a chat assistant that reads a URL and answers with receipts Demo below. You can run the /add-tavily-tool in NanoClaw providers that support MCP, and install it on multiple agent groups. Here’s how: