Agentic Search with Tavily – AI Build & Learn #2

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Welcome to AI Build & Learn a weekly AI engineering stream where we pick a new topic and learn by building together. This episode covers Agentic Search with Tavily. Tavily is a search API built for AI agents and LLMs, designed to retrieve relevant web results and structured content quickly for real-time, grounded answers. In this stream: Agentic Search with Tavily, Hands-on demo, Community Discussion + practical examples. Community challenge (optional): Try spending 30–90 minutes during the week learning or building something related to MCP, then share what you’re working on in Slack. Note on Flyte / Union: You may see Flyte used in some demos. Flyte is an open-source AI orchestration platform maintained by Union (where I work) for building scalable, durable, and observable AI workflows. You do not need to use Flyte to participate.

Original Event: Agentic Search with Tavily – AI Build & Learn #2