Build an AI Agent in Minutes with h2oGPTe
- Agentic AI
- Enterprise h2oGPTe
This lesson walks through building a functional AI agent inside Enterprise h2oGPTe using only prompts, no coding required. Andreea demonstrates creating a holiday gift recommendation dashboard, first as a general agent with Python and internet access, then upgraded with RAG so the agent checks recommendations against an uploaded company policy document. It shows how to toggle agent tools, adjust the agent accuracy setting, and turn agent output into a shareable HTML web app, then closes with a certification quiz on H2O University.
Key takeaways
- How to turn on the general agent in h2oGPTe with Python coding and internet access tools enabled
- How adding a RAG text tool lets the agent check recommendations against an uploaded policy document
- What the agent accuracy setting controls when balancing response speed against precision
- How a single prompt can turn agent output into a shareable HTML web app with company branding
- Why enabling only the tools a task needs speeds up agent execution instead of selecting every option
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